An AI Application Creator based in New York City & Miami.

I was the lead engineer (hands-on, small team—no people management) behind Kernel’s primary R&D software: a real-time, websocket-driven platform used daily to develop, test, and iterate on our neurotechnology hardware systems. I built end-to-end experiences across React/TypeScript/CSS and Python—tight feedback loops, high-signal dashboards, and tooling that made complex research workflows feel usable. I also helped design and ship Kernel’s first clinical software to the App Store as the company brought its first device to market.

As a founding developer, I designed and built the attendee-facing mobile web app for live event photo-sharing—where guests could see high-quality photos moments after capture. Because events have one photographer but many viewers, I obsessed over the mobile web experience: speed, reliability, and a “feels native” UI for real-time browsing and discovery. I owned the product end-to-end in a lean team, integrating with our camera→iOS pipeline and delivering under the very real constraints of event day.

At Apple (App Store & iTunes), I built internal tools used by App Review, Editorial, and other teams to improve approved-app quality and reduce review cycle time. I also created autonomous review systems that deployed submissions onto real device farms, “played” through apps without human input, and generated structured signals that fed directly into review workflows (including auto-reject triggers). Alongside that, I contributed to internal component/SDK efforts and won an iTunes hackathon with the prototype that seeded what later became App Clips.