I've spent fifteen years developing machine learning and intelligent software systems, working with large language models since their earliest practical applications. At Kymaron Labs, I turn frontier AI from impressive demonstrations into precise, fast and dependable technology ready for real-world use. And I still write code myself.
LLMs are the newest tool in my kit, not the whole kit. Most of the craft is knowing when a decision table beats a prompt, and when a solver beats both. I've shipped all of these, and the best systems I build combine several of them.
Every frontier model is brilliant in places and unreliable in others. My work is finding those edges and building the systems that make the results dependable.
3D generated by AI that has to behave like the real thing.
Video and audio streams generated by AI in real time, as they play.
Image models give you a picture of a circuit, not a circuit. I needed the real thing.
Speech to text and text to speech with a response lag so small the conversation feels seamless.
An exam specification goes in. A complete textbook comes out, beautifully written, illustrated and diagrammed.
Frontier LLMs are brilliant, but slow and expensive to call for every judgment a system makes.
I don't just advise from a slide deck. I'm in the codebase, and I'm always experimenting with whatever is new at the frontier. Here is every commit I've made over the last six months.
Something new comes out of a frontier lab nearly every week. I test it that same week against real problems, not benchmarks, and keep what earns its place. That's how my clients end up with techniques their competitors haven't heard of yet.
I work with anyone who wants genuinely cutting-edge solutions, from brand-new startups building their first product to large companies that need something nobody has built before.
Code I've written is in products adopted by FTSE companies.
My code was the technological base of a Microsoft EU tender.
My code is the core of a product recommended by Microsoft to the UK IT channel.
I'm the chief technology partner of a company that is an official supplier to Intel.
Advising global technology leaders on AI strategy, technical architecture and complex engineering challenges.
Diagnosing, designing and engineering complex systems, from established enterprise infrastructure to frontier AI applications.
Serving as Fractional Chief AI Officer across multiple companies, directing AI strategy and engineering while remaining hands-on in the code.
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