I contribute to open-source AI infrastructure, with a focus on distributed training, GPU compiler correctness, kernel-level inference engines, and reinforcement learning systems.
As of September 17, 2026 I have authored 27 pull requests on GitHub — 23 of them upstream to other people's repositories across 13 projects, 7 merged and 15 open — and filed 13 bug reports, typically with a minimal reproducer, a measurement, and a proposed fix. The entries below link to the upstream discussions.
Contributor to colibri: three merged pull requests covering multi-drive expert streaming for the 510 GB DeepSeek-V4.1 container, OpenMP team sizing in the four engines that never had it, and a plan/engine mismatch that silently allocated 6.23 GiB of unbudgeted KV cache.
Contributor to DeepSpeed: merged fixes for ZeRO-3 rollout synchronization and Hybrid Engine fallback for unsupported model architectures.
Contributor to Triton: merged a loop-fusion correctness fix that prevents invalid assumptions from removing zero-trip guards and causing unintended memory writes.
Contributor to verl: merged a TRL compatibility fix for FSDP value-head critics, and reported and investigated a vLLM rollout startup regression.
Open pull requests to PyTorch, vLLM, SGLang, Megatron-LM, TensorRT-LLM, CUTLASS, LMCache, Miles and Cordis, plus 13 filed bug reports with minimal reproducers.
Open-source CLI-first research assistant agent for AI researchers. Tool use, three-layer memory, plan–execute safety, skill self-learning, multi-LLM fallback.