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.
Evi. Alexa. What's next.
I started at Evi Technologies, working on natural language understanding before most people had heard of it. Evi was acquired by Amazon, and I joined the team that launched Alexa — helping build the AI assistant that ended up in 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 lay off thousands of engineers. And I realised the teams that survive what's coming aren't the biggest — they're the ones that know how to work with AI, not just talk about it.
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