Building software and tools I wish existed.
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A cross-platform Citi Bike trip planner that reasons like a rider and speaks turn-by-turn nav hands-free, from one codebase across iOS, Android, and web.
Read the case study →A self-hosted finance dashboard where Plaid handles the bank connection and the app never sees a login. It auto-categorizes spending, generates budgets, and includes a debt-payoff planner.
Read the case study →Separates a song into its instruments, identifies the key, and explains the chord progression, with three AI models streamed as each one finishes.
Read the case study →An always-on bot that books hard-to-get reservations the second they release, controlled from an iOS app, with a Claude natural-language layer for plain-English requests.
Read the case study →An AI coach that fuses WHOOP recovery with Strava training to tell you what to actually do today. It's now growing a touch-native iOS front end, Coach Aurelius.
Read the case study →Watches for scarce NY Marathon qualifying events (both races and volunteer spots) and pings a registration link the moment one opens.
Read the case study →A from-scratch filtering and verification pipeline that pulls verified events out of hundreds of thousands of unverified daily reports.
Read the case study →Data validation, QA, and client-facing delivery on marketing mix modeling engagements guiding $3B+ in annual spend for six concurrent Fortune 500 clients.
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With a background in data and analytics, I taught myself to build. Now I ship applied-AI products end to end.