Sr SDE at Amazon, based in New York City. Outside of work I contribute to open source agent runtimes and agent workflow tooling β bug fixes and features around message delivery, memory, resource limits, and agent autonomy.
Merged PRs: KiroCrew Β· OpenClaw Β· agent-sop
Some work I'd point at:
Agents showing the wrong thing
- openclaw#72038 β a long Telegram reply kept its preview's start timestamp, so you couldn't tell how long the task had actually taken. Later ported into Nous Research's hermes-agent by its maintainer.
- openclaw#68100 β aborted turns could still deliver their replies, out of order.
- openclaw#71830 β internal tool markup and error strings were leaking into user-facing messages.
- KiroCrew#2131 β interactive question cards stayed on screen after the conversation had moved past them.
- KiroCrew#2299 β session search re-sorted results by date, burying the session you searched for.
Agents losing state
- openclaw#92350 β agents silently lost their memory prompt mid-session.
- openclaw#71596 β models you had explicitly deselected were still used as fallbacks.
Agents running unbounded
- KiroCrew#2116 β added a runtime budget for autonomy loops.
- KiroCrew#2126 β a queued correction mode for busy subagents: delivered after the current turn instead of interrupting it.
- KiroCrew#2441 β
pytest -n autoinside agent sessions gets capped by available memory, not just CPU count. - KiroCrew#2486 β the gateway staggers its startup after a loopstall crash instead of relaunching everything at once.
- KiroCrew#2122 β empty startup dumps were rotating out the crash evidence you actually needed.
- sopilot β runs Agent Skills under SOP control: the workflow owns step order and checkpoints, not the conversation.
- kirocrew-glance β a session board for KiroCrew. An LLM cron writes a short prioritized brief; the UI renders it.
- openclaw-pr-workflow β my OpenClaw contribution workflow, packaged as a Codex skill.