Product engineering, AI research, cybersecurity, and music, carried from first principles to something people can use.
Previously a founding engineer at Mozart AI. At Dartmouth and NARF Industries, I was a cybersecurity researcher and Research Assistant, building AI-assisted vulnerability-discovery systems for DARPA evaluations. I also researched neural audio restoration, served as a graduate Head TA, and wrote four textbooks.
Three theses connecting engineering and music, four textbooks written around Dartmouth courses, and seven independent research papers, all in preparation. A few pages of each to get you started.
Founding engineer · 2026
Shipped the music library, real-time collaboration, and onboarding for an AI music studio used by 250K+ people, with persisted track, mixer, and MIDI state. Built the multi-model audio evaluation behind model choices: BPM, key, and lyric checks, stem and semantic metrics, and Bradley-Terry A/B ranking.
Independent product · M.S. thesis
Built an AI-native music workstation and carried it toward release: a native Mac studio in C++ on JUCE and Tracktion, a SwiftUI iOS companion on TestFlight, and a FastAPI and Postgres backend on Render and Supabase with Stripe billing and Sign in with Apple.
Independent research · 2026
RESTORINGBuilt a system that cleans up and masters a finished song on its own. It listens first and measures what is wrong, then fixes only that: exact signal processing for clipping and echo, a neural network for room reverb, and the measured norms of 103,838 released tracks for tone and loudness.
Echo found at 210 ms and removed. Try every stage in the explorer.Independent research · 2026
RECOVEREDShowed that “privacy-preserving” speech recognition can leak the audio itself. Federated learning sends model updates instead of recordings; one update is enough to rebuild the speaker’s words exactly, with no transcript and no guesswork. It worked on 98.5% of 1,417 test recordings, and Whisper transcribes the rebuilt audio almost perfectly.
“He is called as you know the apostle of the indies.” Whisper reads the recovery word for word.
Piano, cello, guitar, ukulele, and synthesizers. All eight tracks from my music honors thesis album are here.
A multi-genre album I composed, performed, recorded, and mastered. This is where the tools meet the person using them.
A LITTLE ABOUT THE PERSONI work across engineering and music, and I care about craft in both.
I’ve built creative software, researched machine learning, done IMDb-credited dubbing work at Igloo Music, taught graduate ML, and swum for Dartmouth in Division I, breaking Dartmouth school records and two Hawaiian state records.
I earned my M.S. in Engineering Sciences at Dartmouth in 2026, after an A.B. in Engineering Sciences and Music with honors in both majors. I’m interested in product and research teams working on creative software, audio, and applied machine learning.