Machine Learning & Probability Theory
A comprehensive exploration of ML's limitations through PowerBall prediction. Built with TensorFlow and scikit-learn to demonstrate why truly random systems resist prediction, teaching valuable lessons about probability, expected value, and when ML isn't the right tool.
View on GitHubEmbedded Systems & Sensing
A dual-hand embedded system using BNO085 IMU sensors, Arduino ESP32, FPGA, and STM32 MCU for real-time gesture recognition and low-latency audio synthesis. E155 Final Project enabling virtual drum playing through air gestures.
View ProjectMicrocontrollers & FPGA Design
A sequence of labs covering ARM microcontrollers, interrupts, FPGA digital design, and hardware/software co‑design—all documented with schematics, code, and reflection.
View Lab Portfolio