AI-Native Software Engineer · London
Two apps shipped to the App Store, both running real-time voice AI in production, not in a demo.
Built end to end with the OpenAI Realtime API, WebRTC, LiveKit, and native SwiftUI.
Shipped · Production · Real
01 · On the App Store
An AI language tutor you talk to, holding real-time spoken conversations.
02 · On the App Store
An AI training coach that decides what you do next using a multi-agent engine.
What I actually do
Low-latency voice systems over WebRTC and WebSocket streaming, the part most demos skip and most products get wrong.
SwiftUI front ends through to Python and LiveKit back ends, owned end to end and taken all the way to the App Store.
Multi-agent orchestration and reasoning pipelines that make decisions, not just chat responses.
Cursor, Claude Code, and AI-assisted tooling used to compress the distance between idea and shipped build.
About
I build AI-native products end to end, from the first idea to a listing in the App Store. Based in London, I work at the intersection of AI, real-time systems, and interfaces people genuinely want to keep using.
I care about the unglamorous middle: latency, reliability, and the moment a user forgets they're talking to a machine.
More ships
A music streaming platform with WebRTC audio streaming.
A healthcare compliance dashboard with automated workflows and 99% uptime.
Experience & trajectory
Shipped two App Store apps and built high-performance real-time AI systems, owning product, engineering, and release.
Managed lead-qualification systems across UK and Gibraltar operations.