Computer Architecture · GPUs · Accelerators · Systems @ MIT

Optimizing kernels, building accelerators, and designing systems that push hardware to its limits.

Languages: C · C++ · Python · JavaScript · TypeScript · Assembly

GPU / ML: PyTorch · TensorFlow

Systems: Linux · Git · ROS2 · Docker

An autonomous poker agent designed for MIT Pokerbots 2026, combining opponene modeling and expected-value-driven decision making

A RISC-V Vector CPU + Quant Accelerator with custom ISA extensions, pipelined execution units, and simulation tooling.

AI-powered FPL optimization platform with ML predictions, squad optimization, and an intelligent copilot.

MIT - Electrical Engineering w/ Computing and Mathematics

• Research: Undergraduate Researcher @ MIT AeroAstro, MIT Siegel Family Quest for Intelligence
• Teaching: Teaching Assistant - Classical Mechanics @ MIT Physics Department

Current Focus: • Reinforcement learning of swarm dynamics • Backend webdevelopment with JS and Django • Autonomous robotics and sensor fusion • Machine Learning Applications with large language models • GPU and CPU level architecture optimization

Always building. Always profiling. Always optimizing.