About Me

I build voice AI systems that work in production. Based in Folkestone, UK.

Most of my work involves migrating companies from managed platforms (Vapi, Retell) to open-source frameworks (Pipecat, LiveKit). Beyond the obvious cost savings, you get data sovereignty, vendor independence, and crucially, the flexibility to adapt as the space evolves. When running models locally becomes viable for your use case, you’re already positioned to take advantage of it.

I specialise in:

• Debugging production voice AI systems (CPU leaks, latency issues, resource management)
• Architecting migrations from managed platforms to self-hosted infrastructure
• Building configuration abstraction layers for multi-vendor systems
• Turn-taking optimisation and interrupt handling
• Getting consistent sub-second latency with the right STT/LLM/TTS combinations

I work primarily in code: Python for the backend (FastAPI, asyncio), Next.js for frontends, Supabase for data, Vercel for deployment. Voice AI is still rapidly evolving, and custom development gives the control and flexibility needed to adapt as requirements change.

Check out my GitHub for examples of my work.

Life Before AI

My background spans a range of technical domains. After earning my Master’s in Computing from Imperial College, I built everything from content management systems and trading floor software to mobile apps and smart contracts. This variety taught me to quickly adapt to new technologies and recognise patterns across different systems – skills that prove invaluable in the rapidly evolving voice AI space.

Life Beyond AI

I’m based in Folkestone for the coastal lifestyle. When I’m not working, you’ll often find me along the seafront or exploring the local trails.

Folkestone Gallery