F1 Telemetry Dashboard
Built an interactive dashboard analyzing Formula 1 race data, visualizing driver performance, tire strategy, and lap-by-lap comparisons.
Build
Technical projects exploring AI, data, and software — tools built to ask better questions and make answers tangible.
Developed a reinforcement learning model for autonomous racing simulation, optimizing lap times through iterative training and real-time decision making.
Built an interactive dashboard analyzing Formula 1 race data, visualizing driver performance, tire strategy, and lap-by-lap comparisons.
Research on AI-driven approaches to poster design, generation, or analysis.
This project investigates whether a real-time multimodal sensing system can be engineered to reliably convert full-body motion into expressive musical feedback under practical latency and stability constraints. The system captures natural human movement and maps it to musical parameters in real time, with the goal of promoting smoother, more continuous motion through sound.
Team EcoDuo — Thunkable app to reduce food waste with expiration tracking, pantry habits, and recipes.
Spring 2024 Simulation Racing Series with UC Berkeley ROAR — Monza Map v1, autonomous agents in simulation.
Built to learn waves as in physics class—3D radial ripple in the browser (Vite, Three.js).