I work on reliable AI/ML systems: agent infrastructure, provider integrations, inference runtimes, and the data and observability paths around them. I like starting from a concrete failure, narrowing the fix, and leaving a regression test behind.
- Pydantic AI #6098 — Bedrock tool results with co-located attachments.
- MLflow #25807 — Strands autologging around foreign OpenTelemetry spans.
- Ultralytics #25153 — RT-DETR
max_dethandling in export and validation. - Apache DataFusion #24484 —
CASEevaluation for custom physical expressions. - Plotly.js #7768 — exponent formatting for small tick values.
- SQLGlot #7807 — parenthesized SQLite tuple parsing.
- nn_inference — C++17 ONNX CPU runtime with SIMD GEMM and activation memory planning.
- OmniChat Showcase — sanitized case study for a CPU-first multimodal RAG assistant.



