I work on reliable LLM applications in Python, with a focus on Agent Runtime, async/concurrency, state consistency, RAG, and evaluation.
Concurrent tool isolation · PR #3843 · Merged
Isolated provider-backed computer tool instances across concurrent runs, preventing shared mutable state from leaking between tasks.
Session initialization race · PR #3821 · Merged
Serialized lazy conversation-session initialization so concurrent first writes cannot create competing conversation IDs, with regression coverage for initialization failure and takeover.
Handoff history boundary · PR #3815 · Merged
Tightened history-wrapper detection so legitimate user messages are not mistaken for SDK-generated summaries and removed from conversation history.
Terminal-run consistency · Issue #4393 → PR #4412 · Merged, Co-authored-by
Found and reproduced inconsistent max_turns finalization across streamed and non-streamed runs. The maintainer extended the fix and retained my co-author credit.
View my upstream pull requests →
- Agent Runtime: tool execution, sessions, handoffs, tracing, and long-running task reliability
- LLM applications: RAG, retrieval and reranking, evidence grounding, and evaluation