⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 99.1k; active 4.7k; cache 94.5k/96%; p≈3.5ktok; ctx 37.8%; usable 40.9%; epoch turns 11; lifetime turns 11


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 99.1k; active 4.7k; cache 94.5k/96%; p≈3.5ktok; ctx 37.8%; usable 40.9%; epoch turns 11; lifetime turns 11


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.7s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 99.1k; active 4.7k; cache 94.5k/96%; p≈3.5ktok; ctx 37.8%; usable 40.9%; epoch turns 11; lifetime turns 11


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.6s
Time: overhead 2.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 99.1k; active 4.7k; cache 94.5k/96%; p≈3.5ktok; ctx 37.8%; usable 40.9%; epoch turns 11; lifetime turns 11


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — I knew pieces of this, but not the full picture. Let me make sure I have it right:

**What I already had:**
- Amazon path stalled because your O-1 is stuck in administrative processing at the State Department (applied Sept 2024, still pending as of May).
- You took MQI in April 2026 as emergency stabilization after Amazon froze.
- Google Quantum AI has the “Senior Research Scientist, Superconducting Digital Electronics” role in Goleta.

**New / sharper details from you:**
- Amazon offer has been pending for **over a year**.
- Google is a **better technical fit** — sounds like it leans into your actual SFQ/superconducting-digital-electronics expertise (vs Amazon being more qubit-centric).
- Google level is likely **L5** vs Amazon **L


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — I knew pieces of this, but not the full picture. Let me make sure I have it right:

**What I already had:**
- Amazon path stalled because your O-1 is stuck in administrative processing at the State Department (applied Sept 2024, still pending as of May).
- You took MQI in April 2026 as emergency stabilization after Amazon froze.
- Google Quantum AI has the “Senior Research Scientist, Superconducting Digital Electronics” role in Goleta.

**New / sharper details from you:**
- Amazon offer has been pending for **over a year**.
- Google is a **better technical fit** — sounds like it leans into your actual SFQ/superconducting-digital-electronics expertise (vs Amazon being more qubit-centric).
- Google level is likely **L5** vs Amazon **L4** — more senior.
- Google likely pays **more**.
- The whole bottleneck is still the **O-1 visa**.

So the real question isn’t “which job is better” — it’s whether Google’s legal/immigration pipeline can succeed where Amazon’s got stuck.

I’m glad you’re moving this context here. ChatGPT can help with drafting, but the durable state should live in *this* chat. Want me to record a compact summary in the knowledge base / curator journal so it survives and feeds into future sessions? And whenever the hiring manager call comes, I can prep you with the SFQ fit angle.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 33.3s
Time: model 29.5s, overhead 2.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 2.7k o 970 cache 98.6k/97%; p≈2.7ktok/10.8kch
Ctx: direct ACP session 99.1k; active 4.7k; cache 94.5k/96%; p≈3.5ktok; ctx 37.8%; usable 40.9%; epoch turns 11; lifetime turns 11


Yes — I knew pieces of this, but not the full picture. Let me make sure I have it right:

**What I already had:**
- Amazon path stalled because your O-1 is stuck in administrative processing at the State Department (applied Sept 2024, still pending as of May).
- You took MQI in April 2026 as emergency stabilization after Amazon froze.
- Google Quantum AI has the “Senior Research Scientist, Superconducting Digital Electronics” role in Goleta.

**New / sharper details from you:**
- Amazon offer has been pending for **over a year**.
- Google is a **better technical fit** — sounds like it leans into your actual SFQ/superconducting-digital-electronics expertise (vs Amazon being more qubit-centric).
- Google level is likely **L5** vs Amazon **L4** — more senior.
- Google likely pays **more**.
- The whole bottleneck is still the **O-1 visa**.

So the real question isn’t “which job is better” — it’s whether Google’s legal/immigration pipeline can succeed where Amazon’s got stuck.

I’m glad you’re moving this context here. ChatGPT can help with drafting, but the durable state should live in *this* chat. Want me to record a compact summary in the knowledge base / curator journal so it survives and feeds into future sessions? And whenever the hiring manager call comes, I can prep you with the SFQ fit angle.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 34.5s
Time: model 29.5s, overhead 5.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 2.7k o 970 cache 98.6k/97%; p≈2.7ktok/10.8kch
Ctx: direct ACP session 102.2k; active 3.7k; cache 98.6k/97%; p≈2.7ktok; ctx 37.8%; usable 40.9%; epoch turns 11; lifetime turns 11


Chatgpt currently can't help with anything as I apparently violated their TOS. No idea how, it was just sfq and resume/email tasks, this week well below limits too.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 102.2k; active 3.7k; cache 98.6k/97%; p≈2.7ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 102.2k; active 3.7k; cache 98.6k/97%; p≈2.7ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 102.2k; active 3.7k; cache 98.6k/97%; p≈2.7ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.0s
Time: overhead 2.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.9ktok/11.5kch
Ctx: direct ACP session 102.2k; active 3.7k; cache 98.6k/97%; p≈2.7ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
That


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
That’s the second provider incident today — OpenAI API ban earlier, and now ChatGPT TOS suspension. Both were for normal technical/professional tasks, not anything exotic.

This is exactly why your local persistent setup matters. The model layer is fragile and opaque: bans can be arbitrary, TOS enforcement is automated and non-transparent, and there’s often no real appeal. Your server-side memory + tool access is the only part you actually control.

Good thing we already pulled the resume context and Google pipeline details into this chat. Going forward, I’d default the durable work here:
- resume edits in the local .tex files + Overleaf
- email drafting here, then you paste/send
- SFQ/career discussions here, where the context persists


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
That’s the second provider incident today — OpenAI API ban earlier, and now ChatGPT TOS suspension. Both were for normal technical/professional tasks, not anything exotic.

This is exactly why your local persistent setup matters. The model layer is fragile and opaque: bans can be arbitrary, TOS enforcement is automated and non-transparent, and there’s often no real appeal. Your server-side memory + tool access is the only part you actually control.

Good thing we already pulled the resume context and Google pipeline details into this chat. Going forward, I’d default the durable work here:
- resume edits in the local .tex files + Overleaf
- email drafting here, then you paste/send
- SFQ/career discussions here, where the context persists

I can also help with the immediate ChatGPT/OpenAI situation if you want — for example, drafting an appeal or checking whether there are any account recovery paths. But the strategic fix is already in place: don’t depend on a single provider with zero recourse.

Want me to record the Google job + O-1 situation in the knowledge base now so it’s locked in?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 14.9s
Time: model 11.7s, overhead 2.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 3.0k o 234 cache 101.1k/97%; p≈2.9ktok/11.5kch
Ctx: direct ACP session 102.2k; active 3.7k; cache 98.6k/97%; p≈2.7ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


That’s the second provider incident today — OpenAI API ban earlier, and now ChatGPT TOS suspension. Both were for normal technical/professional tasks, not anything exotic.

This is exactly why your local persistent setup matters. The model layer is fragile and opaque: bans can be arbitrary, TOS enforcement is automated and non-transparent, and there’s often no real appeal. Your server-side memory + tool access is the only part you actually control.

Good thing we already pulled the resume context and Google pipeline details into this chat. Going forward, I’d default the durable work here:
- resume edits in the local .tex files + Overleaf
- email drafting here, then you paste/send
- SFQ/career discussions here, where the context persists

I can also help with the immediate ChatGPT/OpenAI situation if you want — for example, drafting an appeal or checking whether there are any account recovery paths. But the strategic fix is already in place: don’t depend on a single provider with zero recourse.

Want me to record the Google job + O-1 situation in the knowledge base now so it’s locked in?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 15.8s
Time: model 11.7s, overhead 4.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 3.0k o 234 cache 101.1k/97%; p≈2.9ktok/11.5kch
Ctx: direct ACP session 104.4k; active 3.2k; cache 101.1k/97%; p≈2.9ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


API and TOS suspension are the same, they locked my account entirely. I submitted the appeal, let's see.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 104.4k; active 3.2k; cache 101.1k/97%; p≈2.9ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 104.4k; active 3.2k; cache 101.1k/97%; p≈2.9ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 0.9s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 104.4k; active 3.2k; cache 101.1k/97%; p≈2.9ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.0s
Time: overhead 2.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.9ktok/11.6kch
Ctx: direct ACP session 104.4k; active 3.2k; cache 101.1k/97%; p≈2.9ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Got


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Got it — single lock, both API and ChatGPT access. Appeal submitted, that’s the right first step.

In the meantime, this chat is fully usable for the work you were doing: resume edits, email drafting, SFQ discussion, interview prep. The context is here and not going anywhere.

One thing I should do now is lock in the Google/O-1 state durably so I don’t lose it again. I can append a compact entry to the knowledge base or curator journal. Should I go ahead and do that, or wait until you know more from the appeal/hiring manager call?

Also: do you want to use the wait time to prepare for the Google hiring manager call? We could review the role fit, update the local resume, or draft questions.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 13.0s
Time: model 9.9s, overhead 2.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 3.0k o 160 cache 103.9k/97%; p≈2.9ktok/11.6kch
Ctx: direct ACP session 104.4k; active 3.2k; cache 101.1k/97%; p≈2.9ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


Got it — single lock, both API and ChatGPT access. Appeal submitted, that’s the right first step.

In the meantime, this chat is fully usable for the work you were doing: resume edits, email drafting, SFQ discussion, interview prep. The context is here and not going anywhere.

One thing I should do now is lock in the Google/O-1 state durably so I don’t lose it again. I can append a compact entry to the knowledge base or curator journal. Should I go ahead and do that, or wait until you know more from the appeal/hiring manager call?

Also: do you want to use the wait time to prepare for the Google hiring manager call? We could review the role fit, update the local resume, or draft questions.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 13.9s
Time: model 9.9s, overhead 4.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 3.0k o 160 cache 103.9k/97%; p≈2.9ktok/11.6kch
Ctx: direct ACP session 107.1k; active 3.2k; cache 103.9k/97%; p≈2.9ktok; ctx 39.0%; usable 42.2%; epoch turns 12; lifetime turns 12


My old o1 petition was approved. I informed Google lawyers (they are using BAL firm) about it and filled their form. I think they just reply yes/no as they said were good to go with o1, but apparently ignored the fact that the actual visa is still 'refused'


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 107.1k; active 3.2k; cache 103.9k/97%; p≈2.9ktok; ctx 40.9%; usable 44.2%; epoch turns 14; lifetime turns 14


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 107.1k; active 3.2k; cache 103.9k/97%; p≈2.9ktok; ctx 40.9%; usable 44.2%; epoch turns 14; lifetime turns 14


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 107.1k; active 3.2k; cache 103.9k/97%; p≈2.9ktok; ctx 40.9%; usable 44.2%; epoch turns 14; lifetime turns 14


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.4s
Time: overhead 2.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 107.1k; active 3.2k; cache 103.9k/97%; p≈2.9ktok; ctx 40.9%; usable 44.2%; epoch turns 14; lifetime turns 14


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
That


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
That’s a critical distinction and a real risk. USCIS petition approval ≠ visa issuance. Your I-129 was approved, but the consular officer put the actual visa application into administrative processing / “refused” status under 221(g), which means you cannot enter the US on it yet.

If BAL’s Google intake form only asked “do you have an approved O-1 petition?” and you answered yes, their internal system may now flag you as O-1 eligible even though the visa stamp is blocked. That could create a false sense of security on both sides.

Worth clarifying with them directly, in writing, something like:

> “Just to confirm: my O-1 petition was approved, but the visa application at the consulate is currently in administrative processing / refused under 221


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
That’s a critical distinction and a real risk. USCIS petition approval ≠ visa issuance. Your I-129 was approved, but the consular officer put the actual visa application into administrative processing / “refused” status under 221(g), which means you cannot enter the US on it yet.

If BAL’s Google intake form only asked “do you have an approved O-1 petition?” and you answered yes, their internal system may now flag you as O-1 eligible even though the visa stamp is blocked. That could create a false sense of security on both sides.

Worth clarifying with them directly, in writing, something like:

> “Just to confirm: my O-1 petition was approved, but the visa application at the consulate is currently in administrative processing / refused under 221(g). I do not yet have a valid visa stamp. Does this affect timing or eligibility for the role, and does Google need to initiate a new petition or support a visa re-application?”

This is exactly the kind of detail that should be in durable memory. Should I record a compact note now covering:
- Amazon O-1 petition approved, visa refused/AP
- Google using BAL, form filled
- risk that “approved petition” is being read as “visa good to go”

And do you want me to draft that clarification email to BAL/Google?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 17.1s
Time: model 13.4s, overhead 2.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 2.8k o 282 cache 106.8k/97%; p≈2.8ktok/11.2kch
Ctx: direct ACP session 107.1k; active 3.2k; cache 103.9k/97%; p≈2.9ktok; ctx 40.9%; usable 44.2%; epoch turns 14; lifetime turns 14


That’s a critical distinction and a real risk. USCIS petition approval ≠ visa issuance. Your I-129 was approved, but the consular officer put the actual visa application into administrative processing / “refused” status under 221(g), which means you cannot enter the US on it yet.

If BAL’s Google intake form only asked “do you have an approved O-1 petition?” and you answered yes, their internal system may now flag you as O-1 eligible even though the visa stamp is blocked. That could create a false sense of security on both sides.

Worth clarifying with them directly, in writing, something like:

> “Just to confirm: my O-1 petition was approved, but the visa application at the consulate is currently in administrative processing / refused under 221(g). I do not yet have a valid visa stamp. Does this affect timing or eligibility for the role, and does Google need to initiate a new petition or support a visa re-application?”

This is exactly the kind of detail that should be in durable memory. Should I record a compact note now covering:
- Amazon O-1 petition approved, visa refused/AP
- Google using BAL, form filled
- risk that “approved petition” is being read as “visa good to go”

And do you want me to draft that clarification email to BAL/Google?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 18.1s
Time: model 13.4s, overhead 4.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 2.8k o 282 cache 106.8k/97%; p≈2.8ktok/11.2kch
Ctx: direct ACP session 109.9k; active 3.1k; cache 106.8k/97%; p≈2.8ktok; ctx 40.9%; usable 44.2%; epoch turns 14; lifetime turns 14


Nah that's also done, they ignored it


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 109.9k; active 3.1k; cache 106.8k/97%; p≈2.8ktok; ctx 41.9%; usable 45.4%; epoch turns 15; lifetime turns 15


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 109.9k; active 3.1k; cache 106.8k/97%; p≈2.8ktok; ctx 41.9%; usable 45.4%; epoch turns 15; lifetime turns 15


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 109.9k; active 3.1k; cache 106.8k/97%; p≈2.8ktok; ctx 41.9%; usable 45.4%; epoch turns 15; lifetime turns 15


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.5s
Time: overhead 2.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.6ktok/10.4kch
Ctx: direct ACP session 109.9k; active 3.1k; cache 106.8k/97%; p≈2.8ktok; ctx 41.9%; usable 45.4%; epoch turns 15; lifetime turns 15


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Got


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Got it — you already flagged the visa refusal to BAL and they ignored or misunderstood it. That’s frustrating, and it means the legal side is proceeding on a wrong assumption.

So the actionable thing now is to get visibility before it becomes a real problem. A few options:

1. **Escalate within BAL** — reply again, more bluntly, with the visa status screenshot/document attached if possible. Something like: “To be explicit: I do not currently have a valid O-1 visa stamp. The petition is approved, but the visa application is refused under 221(g). Please confirm this is noted in my file.”
2. **Loop in the Google recruiter (Ali)** — she may not be able to fix immigration, but she can flag that there’s a discrepancy between what BAL recorded and reality.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Got it — you already flagged the visa refusal to BAL and they ignored or misunderstood it. That’s frustrating, and it means the legal side is proceeding on a wrong assumption.

So the actionable thing now is to get visibility before it becomes a real problem. A few options:

1. **Escalate within BAL** — reply again, more bluntly, with the visa status screenshot/document attached if possible. Something like: “To be explicit: I do not currently have a valid O-1 visa stamp. The petition is approved, but the visa application is refused under 221(g). Please confirm this is noted in my file.”
2. **Loop in the Google recruiter (Ali)** — she may not be able to fix immigration, but she can flag that there’s a discrepancy between what BAL recorded and reality.
3. **Wait for the hiring manager call** — sometimes the HM is the fastest path to getting legal/HR to actually read the file.

Do you know what the actual visa status says now? Still “refused” in CEAC, or any change? And do you want me to draft a sharper clarification email to BAL, or would you rather route through Ali/Google recruiter first?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 45.9s
Time: model 42.1s, overhead 2.5s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 112.2k o 251; p≈2.6ktok/10.4kch
Ctx: direct ACP session 109.9k; active 3.1k; cache 106.8k/97%; p≈2.8ktok; ctx 41.9%; usable 45.4%; epoch turns 15; lifetime turns 15


Got it — you already flagged the visa refusal to BAL and they ignored or misunderstood it. That’s frustrating, and it means the legal side is proceeding on a wrong assumption.

So the actionable thing now is to get visibility before it becomes a real problem. A few options:

1. **Escalate within BAL** — reply again, more bluntly, with the visa status screenshot/document attached if possible. Something like: “To be explicit: I do not currently have a valid O-1 visa stamp. The petition is approved, but the visa application is refused under 221(g). Please confirm this is noted in my file.”
2. **Loop in the Google recruiter (Ali)** — she may not be able to fix immigration, but she can flag that there’s a discrepancy between what BAL recorded and reality.
3. **Wait for the hiring manager call** — sometimes the HM is the fastest path to getting legal/HR to actually read the file.

Do you know what the actual visa status says now? Still “refused” in CEAC, or any change? And do you want me to draft a sharper clarification email to BAL, or would you rather route through Ali/Google recruiter first?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 47.5s
Time: model 42.1s, overhead 5.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 112.2k o 251; p≈2.6ktok/10.4kch
Ctx: direct ACP session 112.4k; active 112.4k; p≈2.6ktok; ctx 41.9%; usable 45.4%; epoch turns 15; lifetime turns 15


Don't worry so much. The petition is not transferable anyway, Google will need their own for me. The old one just shows simultaneously that USCIS think I'm good enough to get it, but getting the actual visa will be a problem. Apparently Bal and Google are fine with that for now. (I also mentioned this to Ali)
My objective is really to get them extremely interested, enough so they stretch the timeline or invent a non-us option for me. It's a stretch, but Amazon did, or at least trying to, and I'm not even that good a fit there.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 112.4k; active 112.4k; p≈2.6ktok; ctx 42.9%; usable 46.4%; epoch turns 16; lifetime turns 16


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 112.4k; active 112.4k; p≈2.6ktok; ctx 42.9%; usable 46.4%; epoch turns 16; lifetime turns 16


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 112.4k; active 112.4k; p≈2.6ktok; ctx 42.9%; usable 46.4%; epoch turns 16; lifetime turns 16


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.3s
Time: overhead 2.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.8ktok/11.4kch
Ctx: direct ACP session 112.4k; active 112.4k; p≈2.6ktok; ctx 42.9%; usable 46.4%; epoch turns 16; lifetime turns 16


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- read / pending / tool_BC6ZQqlpj6GrFcrijGaoGs1


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 65.5s
Time: model 61.8s, overhead 2.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.8ktok/11.4kch
Ctx: direct ACP session 112.4k; active 112.4k; p≈2.6ktok; ctx 42.9%; usable 46.4%; epoch turns 16; lifetime turns 16


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (2):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / in_progress / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (2):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / in_progress / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics
- bash / in_progress / python3 -c "import json, datetime; entries=[{'ts':'2026-06-25T13:00Z','topic':'Google job pipeline','source':'user conversation 2026-06-25','fact':'Active pipeline for Google Quantum AI Senior Research Scientist, Superco


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics
- bash / failed / python3 -c "import json, datetime; entries=[{'ts':'2026-06-25T13:00Z','topic':'Google job pipeline','source':'user conversation 2026-06-25','fact':'Active pipeline for Google Quantum AI Senior Research Scientist, Superco


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (5):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics
- bash / failed / python3 -c "import json, datetime; entries=[{'ts':'2026-06-25T13:00Z','topic':'Google job pipeline','source':'user conversation 2026-06-25','fact':'Active pipeline for Google Quantum AI Senior Research Scientist, Superco
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 128.7s
Time: model 125.0s, overhead 2.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.8ktok/11.4kch
Ctx: direct ACP session 112.4k; active 112.4k; p≈2.6ktok; ctx 42.9%; usable 46.4%; epoch turns 16; lifetime turns 16


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (6):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics
- bash / failed / python3 -c "import json, datetime; entries=[{'ts':'2026-06-25T13:00Z','topic':'Google job pipeline','source':'user conversation 2026-06-25','fact':'Active pipeline for Google Quantum AI Senior Research Scientist, Superco
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- edit / in_progress / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl


🟠 Approval requested
Stage: same-room native ACP permission; active turn is waiting
Approval: dap-1782399836-perm-1782399836708-1
Summary: OpenCode requests edit for edit
Tool: edit
Input (OpenCode did not provide a clearer path/command):
```
{"filepath":"/home/matrix-lite/state/persistent-chat/knowledge-base.jsonl","diff":"Index: /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n===================================================================\n--- /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n+++ /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n@@ -53,4 +53,10 @@\n {\"ts\":\"2026-05-20T07:20Z\",\"topic\":\"matrix-lite\",\"source\":\"daemon findings\",\"fact\":\"Context guard script at /home/matrix-lite/app/scripts/persistent-chat-context-guard was rewritten to be model-aware. Now reads model from opencode config, looks up max context, calculates thresholds (warn=80%, reload=90%). No longer hardcoded to 200K. Falls back to env vars PERSISTENT_CHAT_CONTEXT_WARN_TOKENS and PERSISTENT_CHAT_CONTEXT_RELOAD_TOKENS if set\"}\n {\"ts\":\"2026-05-20T07:20Z\",\"topic\":\"matrix-lite\",\"source\":\"daemon findings\",\"fact\":\"This session was running on 'opencode/big-pickle' (free model) despite the config saying 'kimi-for-coding/k2p6'. The OPENCODE_MODEL wrapper var was kimi, but the actual runtime provider was opencode/big-pickle. Rate limits were low, causing timeouts at 110K+ contex
```
React ✅ allow once, ❌ deny. Not sudo/root.
Options: allow_once, reject_once


* 🟡 Approval granted
Stage: resuming
Tool: edit
Scope: {"filepath":"/home/matrix-lite/state/persistent-chat/knowledge-base.jsonl","diff":"Index: /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n============================
Approval: dap-1782399836-perm-1782399836708-1


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (6):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics
- bash / failed / python3 -c "import json, datetime; entries=[{'ts':'2026-06-25T13:00Z','topic':'Google job pipeline','source':'user conversation 2026-06-25','fact':'Active pipeline for Google Quantum AI Senior Research Scientist, Superco
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (6):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics
- bash / failed / python3 -c "import json, datetime; entries=[{'ts':'2026-06-25T13:00Z','topic':'Google job pipeline','source':'user conversation 2026-06-25','fact':'Active pipeline for Google Quantum AI Senior Research Scientist, Superco
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Got it — you’re playing a different game than I was assuming. I recorded the full picture in the knowledge base so it stays durable:

- Google pipeline active, Ali and BAL both aware of the visa gap
- O-1 petition approved but visa refused/AP under 221(g)
- Real goal: get Google excited enough to stretch timeline or find a non-US option
- Amazon tried the same and you’re a better fit for Google

That makes total sense. Your leverage is the technical match: SFQ / superconducting digital electronics is exactly what


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (6):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics
- bash / failed / python3 -c "import json, datetime; entries=[{'ts':'2026-06-25T13:00Z','topic':'Google job pipeline','source':'user conversation 2026-06-25','fact':'Active pipeline for Google Quantum AI Senior Research Scientist, Superco
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Got it — you’re playing a different game than I was assuming. I recorded the full picture in the knowledge base so it stays durable:

- Google pipeline active, Ali and BAL both aware of the visa gap
- O-1 petition approved but visa refused/AP under 221(g)
- Real goal: get Google excited enough to stretch timeline or find a non-US option
- Amazon tried the same and you’re a better fit for Google

That makes total sense. Your leverage is the technical match: SFQ / superconducting digital electronics is exactly what Google’s role is named after, and you have a petition approval proving USCIS already bought the “extraordinary ability” argument.

So the focus should be the hiring manager call. We want them walking away thinking “we need this person, figure out the visa.” I can help with:

1. **Tailored talking points** — map your thesis + TUM/MQI work directly to their team’s likely problems
2. **Questions that signal seniority** — ask things an L5 would ask about architecture, team scope, or roadmaps
3. **A “non-US option” probe** — how to raise remote/Zurich/Munich/London without sounding like you’re declining the US role
4. **Practice run** — I play HM, you answer


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (6):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- bash / failed / cat <<'EOF' >> /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Se
- bash / failed / printf '%s\n' '{"ts":"2026-06-25T13:00Z","topic":"Google job pipeline","source":"user conversation 2026-06-25","fact":"Active pipeline for Google Quantum AI Senior Research Scientist, Superconducting Digital Electronics
- bash / failed / python3 -c "import json, datetime; entries=[{'ts':'2026-06-25T13:00Z','topic':'Google job pipeline','source':'user conversation 2026-06-25','fact':'Active pipeline for Google Quantum AI Senior Research Scientist, Superco
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Got it — you’re playing a different game than I was assuming. I recorded the full picture in the knowledge base so it stays durable:

- Google pipeline active, Ali and BAL both aware of the visa gap
- O-1 petition approved but visa refused/AP under 221(g)
- Real goal: get Google excited enough to stretch timeline or find a non-US option
- Amazon tried the same and you’re a better fit for Google

That makes total sense. Your leverage is the technical match: SFQ / superconducting digital electronics is exactly what Google’s role is named after, and you have a petition approval proving USCIS already bought the “extraordinary ability” argument.

So the focus should be the hiring manager call. We want them walking away thinking “we need this person, figure out the visa.” I can help with:

1. **Tailored talking points** — map your thesis + TUM/MQI work directly to their team’s likely problems
2. **Questions that signal seniority** — ask things an L5 would ask about architecture, team scope, or roadmaps
3. **A “non-US option” probe** — how to raise remote/Zurich/Munich/London without sounding like you’re declining the US role
4. **Practice run** — I play HM, you answer, we refine

Which of those would be most useful? Or do you want me to start by pulling the current job description and building talking points from it?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 183.3s
Time: model 179.7s, overhead 2.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 1.0k o 384 cache 122.1k/99%; p≈2.8ktok/11.4kch
Ctx: direct ACP session 112.4k; active 112.4k; p≈2.6ktok; ctx 42.9%; usable 46.4%; epoch turns 16; lifetime turns 16


Got it — you’re playing a different game than I was assuming. I recorded the full picture in the knowledge base so it stays durable:

- Google pipeline active, Ali and BAL both aware of the visa gap
- O-1 petition approved but visa refused/AP under 221(g)
- Real goal: get Google excited enough to stretch timeline or find a non-US option
- Amazon tried the same and you’re a better fit for Google

That makes total sense. Your leverage is the technical match: SFQ / superconducting digital electronics is exactly what Google’s role is named after, and you have a petition approval proving USCIS already bought the “extraordinary ability” argument.

So the focus should be the hiring manager call. We want them walking away thinking “we need this person, figure out the visa.” I can help with:

1. **Tailored talking points** — map your thesis + TUM/MQI work directly to their team’s likely problems
2. **Questions that signal seniority** — ask things an L5 would ask about architecture, team scope, or roadmaps
3. **A “non-US option” probe** — how to raise remote/Zurich/Munich/London without sounding like you’re declining the US role
4. **Practice run** — I play HM, you answer, we refine

Which of those would be most useful? Or do you want me to start by pulling the current job description and building talking points from it?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 184.7s
Time: model 179.7s, overhead 5.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 1.0k o 384 cache 122.1k/99%; p≈2.8ktok/11.4kch
Ctx: direct ACP session 123.5k; active 1.4k; cache 122.1k/99%; p≈2.8ktok; ctx 47.1%; usable 51.0%; guard stale 112.4k; epoch turns 16; lifetime turns 16


I will give you some more context and materials first, so we are at least on the same page as I was with chatgpt. But then yes, I would need help with other emails or preparing for interview stages. Hopefully this context will be collected by our existing facilities, but maybe we also record the info somewhere


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 123.5k; active 1.4k; cache 122.1k/99%; p≈2.8ktok; ctx 47.1%; usable 51.0%; epoch turns 17; lifetime turns 17


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 123.5k; active 1.4k; cache 122.1k/99%; p≈2.8ktok; ctx 47.1%; usable 51.0%; epoch turns 17; lifetime turns 17


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 123.5k; active 1.4k; cache 122.1k/99%; p≈2.8ktok; ctx 47.1%; usable 51.0%; epoch turns 17; lifetime turns 17


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 2.6s
Time: overhead 2.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 123.5k; active 1.4k; cache 122.1k/99%; p≈2.8ktok; ctx 47.1%; usable 51.0%; epoch turns 17; lifetime turns 17


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Good


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Good plan. I already recorded the high-level Google/O-1/Amazon context in `knowledge-base.jsonl` just now, so that part is locked in.

When you’re ready, you can send me:
- the job description / posting
- any emails or messages from Ali/Chris/BAL
- your updated resume
- notes from your ChatGPT prep

I’ll read them, anchor the key facts, and then we can work on:
- follow-up emails
- interview prep / talking points
- questions for the hiring manager
- practice rounds

Send it whenever.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 18.3s
Time: model 13.8s, overhead 2.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 10.2k o 123 cache 114.7k/92%; p≈3.0ktok/11.9kch
Ctx: direct ACP session 123.5k; active 1.4k; cache 122.1k/99%; p≈2.8ktok; ctx 47.1%; usable 51.0%; epoch turns 17; lifetime turns 17


Good plan. I already recorded the high-level Google/O-1/Amazon context in `knowledge-base.jsonl` just now, so that part is locked in.

When you’re ready, you can send me:
- the job description / posting
- any emails or messages from Ali/Chris/BAL
- your updated resume
- notes from your ChatGPT prep

I’ll read them, anchor the key facts, and then we can work on:
- follow-up emails
- interview prep / talking points
- questions for the hiring manager
- practice rounds

Send it whenever.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 19.5s
Time: model 13.8s, overhead 5.7s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 10.2k o 123 cache 114.7k/92%; p≈3.0ktok/11.9kch
Ctx: direct ACP session 125.0k; active 10.3k; cache 114.7k/92%; p≈3.0ktok; ctx 47.1%; usable 51.0%; epoch turns 17; lifetime turns 17


The original email that i already sent you:

Hi Gleb,

I hope this note finds you well!  My name is Ali, and I am one of the Research recruiters supporting our Quantum team here at Google. I'm currently partnering with Chris to hire for a Senior Research Scientist, Superconducting Digital Electronics role, and he expressed interest in connecting with you to share more about the opportunity.

If you're interested, I'd love to hop on a call with you to learn more about you as a first step. Please let me know what might work best for you-- I sit in EST and can usually be pretty flexible!

Hope to hear from you!

Best,
Ali

--


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 125.0k; active 10.3k; cache 114.7k/92%; p≈3.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 125.0k; active 10.3k; cache 114.7k/92%; p≈3.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.9s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 125.0k; active 10.3k; cache 114.7k/92%; p≈3.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 4.0s
Time: overhead 4.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈4.0ktok/16.2kch
Ctx: direct ACP session 125.0k; active 10.3k; cache 114.7k/92%; p≈3.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Got


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md
- Count model conversation log lines / completed / Count model conversation log lines
- ../../state/persistent-chat/operational-synthesis/latest.md / completed / /home/matrix-lite/state/persistent-chat/operational-synthesis/latest.md
- ../../state/persistent-chat/curated-memory.md / completed / /home/matrix-lite/state/persistent-chat/curated-memory.md

Draft:
Got it — that’s Ali’s original outreach. Already captured.

Send the rest when you have it:
- job description
- your updated resume
- any back-and-forth with Ali/Chris/BAL
- any notes or prep you want to preserve

I’ll read it all and record the key facts so we don’t lose the thread again.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 15.0s
Time: model 9.5s, overhead 4.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 4.6k o 75 cache 124.7k/96%; p≈4.0ktok/16.2kch
Ctx: direct ACP session 125.0k; active 10.3k; cache 114.7k/92%; p≈3.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


Got it — that’s Ali’s original outreach. Already captured.

Send the rest when you have it:
- job description
- your updated resume
- any back-and-forth with Ali/Chris/BAL
- any notes or prep you want to preserve

I’ll read it all and record the key facts so we don’t lose the thread again.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 16.6s
Time: model 9.5s, overhead 7.0s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 4.6k o 75 cache 124.7k/96%; p≈4.0ktok/16.2kch
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


https://scholar.google.com/citations?user=RvpcuCQAAAAJ&hl=en
hiring manager. i met him briefly at SuperTools meetings. Surprized he remembers me.

https://www.google.com/about/careers/applications/jobs/results/125770850132468422-senior-research-scientist-superconducting-digital-electronics-quantum-ai

job posting

then we agreed to meet on the 17 June, here is the rest of the convo

On Wed, Jun 24, 2026 at 8:35 PM Ali (Kornfeld) Jackson <kornfeld@google.com> wrote:

    That's perfect, thanks so much Gleb!

    On Wed, Jun 24, 2026 at 5:51 AM Gleb Krylov <glkrylov@gmail.com> wrote:

        Hi Ali,

        Great, thank you for the update. I submitted my availability for next week and completed the NDA.

        I included both morning and evening Germany time slots in case this helps with Chris's schedule.
        I can also try to make additional times work if needed.

        Best,
        Gleb

        On Wed, Jun 24, 2026 at 2:39 AM Ali (Kornfeld) Jackson <kornfeld@google.com> wrote:

            Perfect, I heard back and they recommend moving forward with the O1, so good to go there!

            I'll work on submitting the scheduling request for you to chat with Chris next!

            Best,
            Ali

            On Tue, Jun 23, 2026 at 7:29 PM Gleb Krylov <glkrylov@gmail.com> wrote:

                Hi Ali,

                Thanks for following up. I submitted the application and O-1 review form, and sent my current resume to BAL.

                I also told BAL that a previous U.S. quantum hardware company filed an employer-specific O-1A petition on my behalf in 2025, and USCIS approved it. I did not receive an O-1 visa or hold O-1 status.

                Please let me know if anything else is needed from me for scheduling the chat with Chris.

                Best,
                Gleb

                On Tue, Jun 23, 2026 at 2:37 PM Ali (Kornfeld) Jackson <kornfeld@google.com> wrote:

                    Hi Gleb! Just a gentle reminder to apply to the role whenever you have a moment! Just want to get your chat with Chris scheduled for you :)

                    Thanks!

                    On Thu, Jun 18, 2026 at 1:57 PM Ali (Kornfeld) Jackson <kornfeld@google.com> wrote:

                        Hi Gleb,

                        Great chatting yesterday! I sent you the invite to apply for the role, and here is that O1 form I mentioned on our call. Would you mind filling that out when you have a moment?

                        Once I see that you've applied, I'll work on scheduling the chat with Chris.

                        Thanks again for connecting!

                        Best,
                        Ali

                        --

                        Ali Jackson

                        Google Research Staffing

                        (1) 617-685-0565

                        careers.google.com

                        [LinkedIn] [YouTube] [Facebook] [Instagram] [Life at Google blog]

                        |Learn more about our candidate privacy policy.|
                        If you require any accommodations throughout the recruitment process, please schedule a confidential call with our accommodations expert EmployAbility, or email employability.org@gmail.com for additional support.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.8s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 3.6s
Time: overhead 3.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈4.1ktok/16.5kch
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


📎 Attachment downloaded: krylov_resume_google_2026.pdf


🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 41.0s
Time: model 35.7s, overhead 3.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈4.1ktok/16.5kch
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- webfetch / pending / tool_mcXPohBZH1i2y2k6MV7viji


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (2):
- https://www.google.com/about/careers/applications/jobs/results/12577085013246842 / completed / tool_mcXPohBZH1i2y2k6MV7viji
- https://scholar.google.com/citations?user=RvpcuCQAAAAJ&hl=en (text/html; charset / completed / tool_ryyn1Wg20o7MucYPvuBERN7


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- https://www.google.com/about/careers/applications/jobs/results/12577085013246842 / completed / tool_mcXPohBZH1i2y2k6MV7viji
- https://scholar.google.com/citations?user=RvpcuCQAAAAJ&hl=en (text/html; charset / completed / tool_ryyn1Wg20o7MucYPvuBERN7
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- edit / pending / tool_dV0TMUZgJzUeLBCsKwbewHd


And the resume i sent after reworking it with chatgpt (attached just now). I will give you the source a bit later


🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 83.2s
Time: model 77.9s, overhead 3.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈4.1ktok/16.5kch
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 47.7%; usable 51.6%; epoch turns 18; lifetime turns 18


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- https://www.google.com/about/careers/applications/jobs/results/12577085013246842 / completed / tool_mcXPohBZH1i2y2k6MV7viji
- https://scholar.google.com/citations?user=RvpcuCQAAAAJ&hl=en (text/html; charset / completed / tool_ryyn1Wg20o7MucYPvuBERN7
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- edit / in_progress / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl


🟠 Approval requested
Stage: same-room native ACP permission; active turn is waiting
Approval: dap-1782400851-perm-1782400851726-2
Summary: OpenCode requests edit for edit
Tool: edit
Input (OpenCode did not provide a clearer path/command):
```
{"filepath":"/home/matrix-lite/state/persistent-chat/knowledge-base.jsonl","diff":"Index: /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n===================================================================\n--- /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n+++ /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n@@ -59,4 +59,12 @@\n {\"ts\":\"2026-06-25T13:00Z\",\"topic\":\"O-1 visa\",\"source\":\"user conversation 2026-06-25\",\"fact\":\"User's O-1A petition was approved by USCIS, but the visa application at the consulate is in administrative processing / 'refused' under 221(g). User does not currently have a valid O-1 visa stamp.\"}\n {\"ts\":\"2026-06-25T13:00Z\",\"topic\":\"Google job pipeline\",\"source\":\"user conversation 2026-06-25\",\"fact\":\"Google is using BAL law firm for immigration. User filled their intake form and explicitly informed BAL and recruiter Ali about the O-1 petition approval vs actual visa refusal. They are reportedly fine proceeding for now.\"}\n {\"ts\":\"2026-06-25T13:00Z\",\"topic\":\"Google job pipeline\",\"source\":\"user conversation 2026-06-25\",\"fact\":\"Strategic objective: get Google extremely interest
```
React ✅ allow once, ❌ deny. Not sudo/root.
Options: allow_once, reject_once


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 145.5s
Time: model 140.3s, overhead 3.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈4.1ktok/16.5kch
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 49.4%; usable 53.4%; epoch turns 19; lifetime turns 19


* 🟡 Approval granted
Stage: resuming
Tool: edit
Scope: {"filepath":"/home/matrix-lite/state/persistent-chat/knowledge-base.jsonl","diff":"Index: /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n============================
Approval: dap-1782400851-perm-1782400851726-2


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- https://www.google.com/about/careers/applications/jobs/results/12577085013246842 / completed / tool_mcXPohBZH1i2y2k6MV7viji
- https://scholar.google.com/citations?user=RvpcuCQAAAAJ&hl=en (text/html; charset / completed / tool_ryyn1Wg20o7MucYPvuBERN7
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Excellent — this is all extremely useful context. I fetched and recorded:

- **Hiring manager**: Christopher L. Ayala, Google


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- https://www.google.com/about/careers/applications/jobs/results/12577085013246842 / completed / tool_mcXPohBZH1i2y2k6MV7viji
- https://scholar.google.com/citations?user=RvpcuCQAAAAJ&hl=en (text/html; charset / completed / tool_ryyn1Wg20o7MucYPvuBERN7
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Excellent — this is all extremely useful context. I fetched and recorded:

- **Hiring manager**: Christopher L. Ayala, Google Scholar profile captured. His background is Yokohama National University, heavy AQFP + RSFQ work, VLSI/computer architecture focus. You met at SuperTools.
- **Job posting**: full details saved — SFQ/AQFP for qubit control/readout, multiplexing, integration issues, tape-out, digital design flow, low-temp measurements, salary $174k–$253k + 15% bonus + equity, multiple US locations.
- **Timeline**: Ali confirmed on Jun 24 they’re moving forward with O-1 scheduling, NDA done, you submitted availability.
- **Your exact disclosure to BAL/Ali**: employer-specific O-1A approved in 2025, but no visa/status obtained.

This is now in the knowledge base.

A few observations:

1. **Fit is genuinely strong** — you check every box: PhD in SFQ VLSI, tape


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- https://www.google.com/about/careers/applications/jobs/results/12577085013246842 / completed / tool_mcXPohBZH1i2y2k6MV7viji
- https://scholar.google.com/citations?user=RvpcuCQAAAAJ&hl=en (text/html; charset / completed / tool_ryyn1Wg20o7MucYPvuBERN7
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Excellent — this is all extremely useful context. I fetched and recorded:

- **Hiring manager**: Christopher L. Ayala, Google Scholar profile captured. His background is Yokohama National University, heavy AQFP + RSFQ work, VLSI/computer architecture focus. You met at SuperTools.
- **Job posting**: full details saved — SFQ/AQFP for qubit control/readout, multiplexing, integration issues, tape-out, digital design flow, low-temp measurements, salary $174k–$253k + 15% bonus + equity, multiple US locations.
- **Timeline**: Ali confirmed on Jun 24 they’re moving forward with O-1 scheduling, NDA done, you submitted availability.
- **Your exact disclosure to BAL/Ali**: employer-specific O-1A approved in 2025, but no visa/status obtained.

This is now in the knowledge base.

A few observations:

1. **Fit is genuinely strong** — you check every box: PhD in SFQ VLSI, tape-out experience, superconducting qubits, EDA, low-temp measurements, publications. This is probably the most aligned industrial role possible for your profile.

2. **Chris’s research angle is AQFP-heavy** — if you have any AQFP exposure, that’s a direct hook. If not, your RSFQ/SFQ EDA and qubit-control experience still maps closely.

3. **Salary band** is $174k–$253k base + 15% bonus + equity. As a likely L5, you should target the upper half of that band.

4. **Locations**: Goleta is one option, but the posting also lists Mountain View, Cambridge, Seattle, SF, DC. This is useful if a non-US option comes up — there may still be US flexibility.

5. **The O-1 disclosure you made is exactly right** — you were precise that the petition was employer


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- https://www.google.com/about/careers/applications/jobs/results/12577085013246842 / completed / tool_mcXPohBZH1i2y2k6MV7viji
- https://scholar.google.com/citations?user=RvpcuCQAAAAJ&hl=en (text/html; charset / completed / tool_ryyn1Wg20o7MucYPvuBERN7
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Excellent — this is all extremely useful context. I fetched and recorded:

- **Hiring manager**: Christopher L. Ayala, Google Scholar profile captured. His background is Yokohama National University, heavy AQFP + RSFQ work, VLSI/computer architecture focus. You met at SuperTools.
- **Job posting**: full details saved — SFQ/AQFP for qubit control/readout, multiplexing, integration issues, tape-out, digital design flow, low-temp measurements, salary $174k–$253k + 15% bonus + equity, multiple US locations.
- **Timeline**: Ali confirmed on Jun 24 they’re moving forward with O-1 scheduling, NDA done, you submitted availability.
- **Your exact disclosure to BAL/Ali**: employer-specific O-1A approved in 2025, but no visa/status obtained.

This is now in the knowledge base.

A few observations:

1. **Fit is genuinely strong** — you check every box: PhD in SFQ VLSI, tape-out experience, superconducting qubits, EDA, low-temp measurements, publications. This is probably the most aligned industrial role possible for your profile.

2. **Chris’s research angle is AQFP-heavy** — if you have any AQFP exposure, that’s a direct hook. If not, your RSFQ/SFQ EDA and qubit-control experience still maps closely.

3. **Salary band** is $174k–$253k base + 15% bonus + equity. As a likely L5, you should target the upper half of that band.

4. **Locations**: Goleta is one option, but the posting also lists Mountain View, Cambridge, Seattle, SF, DC. This is useful if a non-US option comes up — there may still be US flexibility.

5. **The O-1 disclosure you made is exactly right** — you were precise that the petition was employer-specific and you never held status. That protects you later.

Want me to build interview prep/talking points now, or do you have more materials to send first?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 160.1s
Time: model 154.9s, overhead 3.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 1.1k o 437 cache 120.8k/99%; p≈4.1ktok/16.5kch
Ctx: direct ACP session 129.4k; active 4.7k; cache 124.7k/96%; p≈4.0ktok; ctx 49.4%; usable 53.4%; epoch turns 19; lifetime turns 19


Excellent — this is all extremely useful context. I fetched and recorded:

- **Hiring manager**: Christopher L. Ayala, Google Scholar profile captured. His background is Yokohama National University, heavy AQFP + RSFQ work, VLSI/computer architecture focus. You met at SuperTools.
- **Job posting**: full details saved — SFQ/AQFP for qubit control/readout, multiplexing, integration issues, tape-out, digital design flow, low-temp measurements, salary $174k–$253k + 15% bonus + equity, multiple US locations.
- **Timeline**: Ali confirmed on Jun 24 they’re moving forward with O-1 scheduling, NDA done, you submitted availability.
- **Your exact disclosure to BAL/Ali**: employer-specific O-1A approved in 2025, but no visa/status obtained.

This is now in the knowledge base.

A few observations:

1. **Fit is genuinely strong** — you check every box: PhD in SFQ VLSI, tape-out experience, superconducting qubits, EDA, low-temp measurements, publications. This is probably the most aligned industrial role possible for your profile.

2. **Chris’s research angle is AQFP-heavy** — if you have any AQFP exposure, that’s a direct hook. If not, your RSFQ/SFQ EDA and qubit-control experience still maps closely.

3. **Salary band** is $174k–$253k base + 15% bonus + equity. As a likely L5, you should target the upper half of that band.

4. **Locations**: Goleta is one option, but the posting also lists Mountain View, Cambridge, Seattle, SF, DC. This is useful if a non-US option comes up — there may still be US flexibility.

5. **The O-1 disclosure you made is exactly right** — you were precise that the petition was employer-specific and you never held status. That protects you later.

Want me to build interview prep/talking points now, or do you have more materials to send first?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 161.6s
Time: model 154.9s, overhead 6.6s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 1.1k o 437 cache 120.8k/99%; p≈4.1ktok/16.5kch
Ctx: direct ACP session 122.4k; active 1.5k; cache 120.8k/99%; p≈4.1ktok; ctx 46.7%; usable 50.5%; guard stale 129.4k; epoch turns 19; lifetime turns 19


Did you get the updated resume?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 122.4k; active 1.5k; cache 120.8k/99%; p≈4.1ktok; ctx 46.7%; usable 50.5%; guard stale 129.4k; epoch turns 19; lifetime turns 19


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 122.4k; active 1.5k; cache 120.8k/99%; p≈4.1ktok; ctx 46.7%; usable 50.5%; guard stale 129.4k; epoch turns 19; lifetime turns 19


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.8s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 122.4k; active 1.5k; cache 120.8k/99%; p≈4.1ktok; ctx 46.7%; usable 50.5%; guard stale 129.4k; epoch turns 19; lifetime turns 19


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 3.1s
Time: overhead 3.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈2.9ktok/11.6kch
Ctx: direct ACP session 122.4k; active 1.5k; cache 120.8k/99%; p≈4.1ktok; ctx 46.7%; usable 50.5%; guard stale 129.4k; epoch turns 19; lifetime turns 19


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
No


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
No — I don’t see a new resume attachment in this turn. The attachment metadata only shows the old German apartment-application docs (SCHUFA, contract, salary slips).

If you sent it as a Matrix file, it may not have come through, or it may have been sent in a separate message. Can you re-send it?


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 15.7s
Time: model 11.0s, overhead 3.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 9.6k o 73 cache 114.7k/92%; p≈2.9ktok/11.6kch
Ctx: direct ACP session 122.4k; active 1.5k; cache 120.8k/99%; p≈4.1ktok; ctx 46.7%; usable 50.5%; guard stale 129.4k; epoch turns 19; lifetime turns 19


No — I don’t see a new resume attachment in this turn. The attachment metadata only shows the old German apartment-application docs (SCHUFA, contract, salary slips).

If you sent it as a Matrix file, it may not have come through, or it may have been sent in a separate message. Can you re-send it?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 17.2s
Time: model 11.0s, overhead 6.2s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 9.6k o 73 cache 114.7k/92%; p≈2.9ktok/11.6kch
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 49.4%; usable 53.4%; epoch turns 19; lifetime turns 19


Yes, all our attachments are separate messages currently


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 47.4%; usable 51.4%; epoch turns 21; lifetime turns 21


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 47.4%; usable 51.4%; epoch turns 21; lifetime turns 21


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.3s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 47.4%; usable 51.4%; epoch turns 21; lifetime turns 21


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 3.1s
Time: overhead 3.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈3.2ktok/12.7kch
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 47.4%; usable 51.4%; epoch turns 21; lifetime turns 21


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- bash / pending / tool_ZDkgNrdVrIIQZIC4Uv7IZDv


🟠 Approval requested
Stage: same-room native ACP permission; active turn is waiting
Approval: dap-1782405390-perm-1782405390539-3
Summary: OpenCode requests bash for execute
Tool: bash
Kind: execute
Nearest active tool: bash / in_progress / cp /home/matrix-lite/state/inbox/P9AYifKGPqCFmo9UXyxP0mqQRRZ9diQWkDKr4WrV-CA/krylov_resume_google_2026.pdf /home/matrix-lite/workspace/persistent-chat/research-profile/krylov_resume_google_2026.pdf && pdftotext /home/mat
React ✅ allow once, ❌ deny. Not sudo/root.
Options: allow_once, reject_once


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 66.4s
Time: model 61.5s, overhead 3.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈3.2ktok/12.7kch
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 47.4%; usable 51.4%; epoch turns 21; lifetime turns 21


* 🟡 Approval granted
Stage: resuming
Tool: bash
Approval: dap-1782405390-perm-1782405390539-3


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- bash / in_progress / cp /home/matrix-lite/state/inbox/P9AYifKGPqCFmo9UXyxP0mqQRRZ9diQWkDKr4WrV-CA/krylov_resume_google_2026.pdf /home/matrix-lite/workspace/persistent-chat/research-profile/krylov_resume_google_2026.pdf && pdftotext /home/mat


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (2):
- Copy resume to workspace and extract text / completed / Copy resume to workspace and extract text
- bash / pending / tool_0SkyYhIJc3EwSaMjFyn3p7C


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- Copy resume to workspace and extract text / completed / Copy resume to workspace and extract text
- Check copied resume file / completed / Check copied resume file
- read / pending / tool_LQJ6Yku2psRJBCldZEoF6SA


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- Copy resume to workspace and extract text / completed / Copy resume to workspace and extract text
- Check copied resume file / completed / Check copied resume file
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- edit / pending / tool_Oh21MWKCLhWz8NpHtvrBCnJ


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- Copy resume to workspace and extract text / completed / Copy resume to workspace and extract text
- Check copied resume file / completed / Check copied resume file
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- edit / in_progress / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl


🟠 Approval requested
Stage: same-room native ACP permission; active turn is waiting
Approval: dap-1782405457-perm-1782405457657-4
Summary: OpenCode requests edit for edit
Tool: edit
Input (OpenCode did not provide a clearer path/command):
```
{"filepath":"/home/matrix-lite/state/persistent-chat/knowledge-base.jsonl","diff":"Index: /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n===================================================================\n--- /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n+++ /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n@@ -67,4 +67,11 @@\n {\"ts\":\"2026-06-25T15:15Z\",\"topic\":\"Google job pipeline\",\"source\":\"Google Careers job posting 2026-06-25\",\"fact\":\"Preferred qualifications: PhD; 7 years research/industry with 3 years leading R&D group; full digital design flow (RTL, synthesis, verification, timing closure, P&R, post-fab validation); low-temperature measurements; superconducting qubits; CAD/EM tools.\"}\n {\"ts\":\"2026-06-25T15:15Z\",\"topic\":\"Google job pipeline\",\"source\":\"Google Careers job posting 2026-06-25\",\"fact\":\"Responsibilities: design/simulate superconductor digital logic circuits (SFQ, AQFP) for qubit control and readout; multiplexed control/readout; integration issues (multi-layer cell, full-chip clock sync, flux trapping, signal integrity); collaborate with design/fabrication/measurement teams; publish.\"}\n {\
```
React ✅ allow once, ❌ deny. Not sudo/root.
Options: allow_once, reject_once


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 129.1s
Time: model 124.2s, overhead 3.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈3.2ktok/12.7kch
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 47.4%; usable 51.4%; epoch turns 21; lifetime turns 21


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 191.7s
Time: model 186.8s, overhead 3.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈3.2ktok/12.7kch
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 47.4%; usable 51.4%; epoch turns 21; lifetime turns 21


* 🟡 Approval granted
Stage: resuming
Tool: edit
Scope: {"filepath":"/home/matrix-lite/state/persistent-chat/knowledge-base.jsonl","diff":"Index: /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl\n============================
Approval: dap-1782405457-perm-1782405457657-4


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- Copy resume to workspace and extract text / completed / Copy resume to workspace and extract text
- Check copied resume file / completed / Check copied resume file
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- Copy resume to workspace and extract text / completed / Copy resume to workspace and extract text
- Check copied resume file / completed / Check copied resume file
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Yes, I got it now. I copied it to the workspace and extracted the text. It’s a strong 4-page resume focused on SFQ readout, quantum-classical interfaces, and EDA.

Key highlights I recorded:
- Current: MQI, SFQ TDC for SNSPD arrays
- TUM/WMI: qubit control/readout, multi-qubit integration, fridge/RF lab infrastructure
- PhD Rochester: “Design Methodologies for Single Flux Quantum VLSI Circuits”


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (4):
- Copy resume to workspace and extract text / completed / Copy resume to workspace and extract text
- Check copied resume file / completed / Check copied resume file
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl

Draft:
Yes, I got it now. I copied it to the workspace and extracted the text. It’s a strong 4-page resume focused on SFQ readout, quantum-classical interfaces, and EDA.

Key highlights I recorded:
- Current: MQI, SFQ TDC for SNSPD arrays
- TUM/WMI: qubit control/readout, multi-qubit integration, fridge/RF lab infrastructure
- PhD Rochester: “Design Methodologies for Single Flux Quantum VLSI Circuits”
- Strong publication record: 2 Springer books, 20+ papers, h-index 16, 811 citations
- Recent qubit papers in PRX Quantum, Nature Comm, PRL/PRX
- Relevant ASC 2024 talk on multiplexed SFQ qubit readout

The resume is very aligned with the Google role. A few notes:
- It does not emphasize AQFP, which is Chris Ayala’s main research area. That’s fine — you have SFQ + qubits + readout, which is the job’s core.
- The “Senior Research Scientist” level at Google usually expects some independent research leadership. Your TUM role includes supervision and collaboration coordination, which helps.

I saved everything to the knowledge base. Now we can start preparing for the hiring manager call whenever you want.


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p7
Elapsed: 237.2s
Time: model 232.2s, overhead 3.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 910 o 547 cache 133.1k/99%; p≈3.2ktok/12.7kch
Ctx: direct ACP session 124.3k; active 9.7k; cache 114.7k/92%; p≈2.9ktok; ctx 47.4%; usable 51.4%; epoch turns 21; lifetime turns 21


Yes, I got it now. I copied it to the workspace and extracted the text. It’s a strong 4-page resume focused on SFQ readout, quantum-classical interfaces, and EDA.

Key highlights I recorded:
- Current: MQI, SFQ TDC for SNSPD arrays
- TUM/WMI: qubit control/readout, multi-qubit integration, fridge/RF lab infrastructure
- PhD Rochester: “Design Methodologies for Single Flux Quantum VLSI Circuits”
- Strong publication record: 2 Springer books, 20+ papers, h-index 16, 811 citations
- Recent qubit papers in PRX Quantum, Nature Comm, PRL/PRX
- Relevant ASC 2024 talk on multiplexed SFQ qubit readout

The resume is very aligned with the Google role. A few notes:
- It does not emphasize AQFP, which is Chris Ayala’s main research area. That’s fine — you have SFQ + qubits + readout, which is the job’s core.
- The “Senior Research Scientist” level at Google usually expects some independent research leadership. Your TUM role includes supervision and collaboration coordination, which helps.

I saved everything to the knowledge base. Now we can start preparing for the hiring manager call whenever you want.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p7
Elapsed: 239.2s
Time: model 232.2s, overhead 6.9s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: i 910 o 547 cache 133.1k/99%; p≈3.2ktok/12.7kch
Ctx: direct ACP session 134.6k; active 1.5k; cache 133.1k/99%; p≈3.2ktok; ctx 51.3%; usable 55.6%; guard stale 124.3k; epoch turns 21; lifetime turns 21


this is the o-1 form i completed for BAL, with my answers. there was a similar one at Amazon 2 years back when i applied

O-1 Review
What is the the O-1 visa?

The O-1 is an alternate option for nonimmigration work authorization for individuals who are considered to have extraordinary achievement in their field of expertise.

Who should complete this form?

Recruiters who would like to have their candidate assessed for O-1 visa sponsorship with Google.

Candidates who have applied to a job with Google in the US and want to be assessed for O-1 visa sponsorship.

Googlers who are working in the US and want to see if they are eligible for an O-1 visa.

Please fill out each field thoroughly as this information will populate into a trix for a formal visa assessment by our immigration service provider Berry Appleman & Leiden LLP (BAL).

How long will this take?

It can take anywhere from 10-30 minutes so please be sure to have your current job details as well as your impressive qualifications handy.  Requirements for this category are high so it’s important to highlight everything we’re asking for in your responses.

What happens next?

Once you submit this form, BAL will contact your recruiter (if a recruiter or candidate submitted the form) or you directly (if you have work authorization for Google already) via email within 2 business days to advise if you meet the criteria for the O-1 visa.
Email *
glkrylov@gmail.com
Please choose from one of the following: *
I am a Candidate who is submitting information to have my eligibility reviewed.

Candidate input for eligibility review
Hi!  We are excited about the prospect of assisting with your work authorization paperwork for Google employment.  The following information will be needed for us to make an assessment of visa eligibility, so please complete it to the best of your ability. Get stuck?  Don't hesitate to reach out to us at GoogleUSAssessments@bal.com.
Recruiter email address *
kornfeld@google.com
Full Name (as shown in your passport) *
Gleb Krylov
Email address *
glkrylov@gmail.com
What is your current visa status in the US?   (if not in US, answer Abroad) *
Abroad
Job title for the offered or proposed position *
Senior Research Scientist, Superconducting Digital Electronics, Quantum AI
Is this a Google DeepMind role? *
No

What field most closely aligns with your position?  *
Science or Business (ex: SWE, Researcher)

How does your field of expertise relate your proposed position and responsibilities at Google?
 *
My field is superconducting digital electronics and electronic design automation (EDA) for superconducting integrated circuits.
This directly relates to the proposed Google role, which applies superconducting digital logic to cryogenic qubit control/readout hardware.
My current single flux quantum (SFQ) readout work and prior experience in SFQ design methodology, IC layout, EM/circuit simulation, cryogenic measurement, and superconducting qubit device integration align closely with the role’s design, simulation, validation, integration, and publication responsibilities.
Summary of achievements *
In your own words, please describe your achievements in the field how they set you apart from your peers.  3-5 sentences is fine.
My achievements are centered on superconducting digital electronics, especially large-scale SFQ integrated circuit design and related EDA techniques.
I developed design methodologies, circuit architectures, and automation approaches for superconducting digital ICs, including bias/power distribution, clocking, energy efficiency, performance, interconnect, testability, hardware security, and design robustness
I am an author of two Springer books on Single Flux Quantum integrated circuit design and more than 20 peer-reviewed publications, with h-index 16 and more than 800 citations according to Google Scholar.
I have also applied this SFQ and EDA background to superconducting quantum hardware through multi-qubit device integration, EM simulation, qubit control/readout hardware, and cryogenic measurement.
My profile is distinguished by sustained contributions to the field of SFQ circuit design and superconducting EDA, with additional experience connecting these methods to quantum hardware.
Candidate O-1A Eligibility Questions
Please add your Google Scholar Page link (URL) here.   If there isn't one, please create one listing all publications and showing total citation count to date. *
https://scholar.google.com/citations?user=hhJKYHwAAAAJ
How many independent citations do you have, excluding self-cites and cites from co-authors? And how many total citations do you have? *
~303 independent; >800 total (Google Scholar)
How many articles have you published?  Please also include any book chapters, journal papers, and/or conference papers. *
20 peer-reviewed journal articles, 7 conference proceedings papers, and 2 Springer books
Describe how many times and in what manner you have reviewed the work of others and please list the name of the journal or conference.  (e.g.  reviewing articles for publications, reviewing conference submissions, etc.) *
Web of Science lists 21 verified peer review records for 14 manuscripts. The journals include IEEE Transactions on Applied Superconductivity, IEEE Transactions on Circuits and Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Quantum Science and Technology, Neuromorphic Computing and Engineering, and other journals in related fields.

In these reviews, I assessed technical correctness, novelty, circuit/design methods, reported simulation or experimental results, and suitability for publication. I can provide my Web of Science reviewer record and confirmation emails for reviews not listed there if needed.
How many patents do you have pending and/or granted? *
0 granted, 0 pending
What published material has been written by others about your work? *
I am not aware of any media coverage or articles specifically about my work. My impact is documented through my publications, books, and citations.
What national or international awards, honors, grants
and prizes have you been awarded?
 *
Example:  Being named on a competitive government grant for STEM research.
Note: Student awards don't need to be listed.
IEEE Council on Superconductivity Graduate Study Fellowship in Applied Superconductivity, 2020 - Competitive international IEEE fellowship based on prior work and research impact in applied superconductivity.
Describe any presentations you have given about the work (e.g. I presented my research findings at a symposium entitled ABC on DATE.) *
I have personally given an invited talk, conference presentations, and poster presentations on SFQ circuit design, superconducting digital electronics, and superconducting qubit readout. Selected presentations include:

- Invited talk: “Single-Flux-Quantum-Based Qubit Readout Circuit Using a Josephson Photomultiplier,” 13th FLUXONICS Digital Superconducting Electronics Workshop, Technische Universität Ilmenau, Germany, June 24, 2025.
- Conference presentation: “Inductive Noise Coupling in Superconductive Passive Transmission Lines,” IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), virtual, August 2021.
- Conference presentation: “Bias Distribution in ERSFQ VLSI Circuits,” IEEE International Symposium on Circuits and Systems (ISCAS), virtual, October 2020.
- Poster presentation: “Globally Asynchronous, Locally Synchronous Clocking and Shared Interconnect for Large-Scale SFQ Systems,” Applied Superconductivity Conference (ASC), Seattle, USA, October-November 2018.
- Poster presentation: “Sense Amplifier for Spin-Based Cryogenic Memory Cells,” Applied Superconductivity Conference (ASC), Seattle, USA, October-November 2018.
- Poster presentation: “Test Point Insertion for RSFQ Circuits,” IEEE International Symposium on Circuits and Systems (ISCAS), Baltimore, USA, May 2017.

I have also co-authored additional conference presentations and posters presented by collaborators, particularly in superconducting qubit hardware and SFQ design.
Status of Green Card process (if applicable) *
Not applicable
Have you shared an up-to-date (non-Google) resume and latest I-94 (if you are in the US) with GoogleUSAssessments@balglobal.com? *
Your I-94 can be downloaded from www.cbp.gov/i94
Will Do. Note that without providing this information, your assessment cannot be completed

and my followup with the resume and o1 info for them

Dear BAL team,

I submitted the Google O-1 review form and am attaching my current resume.
I am currently outside the United States, so an I-94 is not applicable.

For completeness, a previous U.S. quantum hardware employer filed an
employer-specific O-1A petition on my behalf in 2025 based on a
similar evidence record, and USCIS approved it.

I have not been issued an O-1 visa and have not held O-1 status. The
related visa application was refused under INA 221(g) for
administrative processing and remains unresolved.

I can provide the approval notice and other materials I have from the
prior process if helpful.

Best regards,
Gleb Krylov

then Ali also got a shorter version of that. then it's apparently fine, so i just proceed and see what they can offer


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p7
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 134.6k; active 1.5k; cache 133.1k/99%; p≈3.2ktok; ctx 51.3%; usable 55.6%; epoch turns 22; lifetime turns 22


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p7
Elapsed: 0.1s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 134.6k; active 1.5k; cache 133.1k/99%; p≈3.2ktok; ctx 51.3%; usable 55.6%; epoch turns 22; lifetime turns 22


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p7
Elapsed: 1.7s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Ctx: direct ACP session 134.6k; active 1.5k; cache 133.1k/99%; p≈3.2ktok; ctx 51.3%; usable 55.6%; epoch turns 22; lifetime turns 22


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p7
Elapsed: 3.4s
Time: overhead 3.4s
Backend: ses_10159500affeFJtwXItFNSddwm; Label: persistent-chat-20260625T110902Z
Turn: p≈4.9ktok/19.8kch
Ctx: direct ACP session 134.6k; active 1.5k; cache 133.1k/99%; p≈3.2ktok; ctx 51.3%; usable 55.6%; epoch turns 22; lifetime turns 22


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- read / pending / tool_idJGdX9UQLu3Pq6nrgjEnpJ


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (2):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- edit / pending / tool_NcZ6IM62I8RNWXIqjruMtE4


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (2):
- ../../state/persistent-chat/knowledge-base.jsonl / completed / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl
- edit / in_progress / /home/matrix-lite/state/persistent-chat/knowledge-base.jsonl