I'm a Machine Learning Engineer working on scalable ML systems — training infrastructure, performance optimization, and on-device / edge inference across diverse hardware accelerators.
- Compiler-level perf work for ML (MLIR, Triton, kernel authoring)
- Distributed and large-scale training infrastructure
- On-device and edge inference across heterogeneous accelerators
- M.S. Computer Science — University of California, Riverside
- Medium — deep dives on ML systems, distributed training, and performance engineering.

