Builder first,
consultant second.
I've spent twenty years building AI systems, shipping products, and leading teams. Wood Labs is where all of that experience comes together.
Durham. Evi. Alexa. What's next.
It started with a degree in Artificial Intelligence at Durham, before most people knew it was a subject worth studying. From there I moved to Cambridge and joined Granta Design — building software for engineers. Mostly end-user facing work: the unglamorous, essential craft of making complex tools feel simple.
Then I moved to Evi Technologies, where I got back to my AI roots — working on knowledge representation and natural language understanding before most people had heard of either. Evi was acquired by Amazon, and I joined the early team that launched Alexa, helping bring agentic AI into the mainstream and into millions of homes.
After Amazon, I founded Mind Mage, where I built and led my own AI team for two years. I learnt what works when you're building from zero: how to hire, how to ship, and how to make AI deliver real value on a real budget.
Then I watched Amazon, and then the rest of big tech, lay off thousands of engineers. Many of them people I knew — and I knew how good they were. This wasn't just about maintaining a high bar. Something structural was shifting. The role of the software engineer is changing, and we all need to adapt.
That's why Wood Labs exists. I help engineering teams make the transition from "we should probably use AI" to "AI agents are how we work now."
What I actually know.
AI agents & agentic workflows
This is what teams need now. I've built, deployed, and refined AI agent systems — and I help teams adopt them into their daily engineering practice.
Classical AI meets generative AI
Most consultants only know the last three years. I bridge knowledge representation, inference engines, and modern generative AI. That depth matters when things get hard.
Building and leading teams
I've hired engineers, built products from zero, and run a startup. I understand the reality of shipping — not just the theory.
AI at scale
From optimising inference engines to launching Alexa, I've worked on AI systems that serve millions. I know what scales and what doesn't.
Hands on the keyboard, not the slide deck.
I embed with your engineering team. I write code alongside your developers, build agentic workflows into your actual systems, and make sure your team can own everything I build when the engagement ends. No dependency, no lock-in.
If you're a CTO or engineering leader trying to figure out how to make AI agents actually work for your team — not just in demos, but in production — I'd like to hear from you.
Let's Talk