I'm an undergraduate at MIT studying AI & Decision Making, and I'm deeply passionate about AI tools and the wave of agents reshaping how people build and think. I want to use these tools to better humanity: through education that meets people where they are, richer ways to connect socially, and software that takes friction out of the things that matter.
Human subjects research on sonophoresis — ultrasound-based transdermal caffeine delivery via a co-developed wearable (SonoPatch) and its effects on cognitive performance. Built the end-to-end experiment stack in Python, Flask, and Lab Streaming Layer to synchronize EEG (MuseS), EmotiBit physiology, and SART event markers. Authored the Related Works for a paper submitted to ACM UIST 2026.
A real-time voice-and-vision platform where you teach AI students who listen, watch, ask questions, and push back — an inverted classroom for learning by teaching. Built with the Google Gemini Live API, WebSockets, and Cloud Run.
Led development of SolsticeAI, an embedded in-vehicle AI assistant on MIT's Solar Electric Vehicle. Engineered the full voice pipeline — audio capture, ChatGPT API integration, and audio playback — on a Raspberry Pi 5 infotainment unit with Apple CarPlay and CAN-bus communication to the vehicle.
Programmed robot subsystems in Java with WPILib — TalonSRX motor controllers, real-time CAN communication with the RoboRIO, and autonomous routines. Field-tested control boards under competition constraints.