Software Engineer passionate about the deeper side of CS — systems, compilers, performance, AI/ML, and security.
Undergraduate at MIT. Passionate about systems and optimization — CPU/GPU tuning, AI inference, and squeezing performance out of every layer of the stack.
Built an extensible benchmarking framework for evaluating system-level metrics across compound/agentic AI workflows.
Contributed static and dynamic parallel split strategies to Finch, a Julia tensor operations library.
Implemented Efficiently Updatable Neural Network (NNUE) for a chess-like game.
Modeled energy and latency of data and zero parallelism strategies.
Engineered a compiler for a simplied C language with optimization passes.
Programmed a competitive AI bot for Battlecode 2024: Breadwars.
Worked on internal debugging tools for Zero-ETL service.
Developed a proof-of-concept RAG system for Thai document analysis.
Conducted research on automated fundus image quality assessment.