I contribute to ML infrastructure, with a focus on compiler correctness, GPU kernels, and quantized inference.
- Open source: contributions landed in PyTorch, Triton, ONNX Runtime, and ONNX Script.
- Research: pixel-based thermal facial image analysis for emotion sensing.
- Building: personal AI agent systems and automation tools.
Eight contributions merged or landed upstream as of October 9, 2026.
| Project | Contribution |
|---|---|
| ONNX Script | Support ONNX export of offset-based grouped_mm layouts with dynamic offsets and input lengths; add regression tests. PR #3017 |
| ONNX Runtime | Support independent FP32/FP16 scale and output types in CPU DequantizeLinear across per-tensor, per-axis, and blocked quantization. PR #32728 |
| PyTorch / TorchInductor | Prevent unsafe in-place index_put rewrites when indices or values share input storage; add graph-level and end-to-end regressions. PR #198637 |
| PyTorch / TorchInductor | Correct select–cat rewrite matching, layout checks, and output aliasing semantics. PR #198638 |
| Triton | Prevent loop pipelining from moving dependent loads ahead of in-loop grid dependency waits; add MLIR scheduling regressions. PR #11906 |
| ONNX Runtime | Fix silent INT2 per-axis quantization corruption when single-element scale intervals share packed bytes. PR #32786 |
| Triton | Reject empty CGA layouts for two-CTA tensor memory with a verifier diagnostic instead of a compiler abort. PR #11894 |
| PyTorch / Autograd | Fix forward-mode AD gradcheck diagnostic indexing across filtered input/output domains. PR #194991 |
- Kaggle Competitions Expert — Kaggle profile
- Kaggle Silver Medal — AI Agent Security: Multi-Step Tool Attacks — 88 / 4,186 teams (top 2.1%), final private leaderboard — official result
- Kaggle Silver Medal — Kaggriculture — 277 / 10,148 teams (top 2.7%), final leaderboard — official result
- thermal-face-analysis — thermal facial alignment & landmark detection.