I work with founders who have a technology that's solving problems for a high-stakes market, but hit a ceiling in their ability to build and deploy. Now they need someone who understands both sides: how to serve a C-suite, legal, and compliance audience and how to deliver technology to it. Not one or the other.
You're past the idea stage. You have real customers, a real problem, and a product that's working — but the go-to-market and the technical delivery aren't keeping up with each other.
You're in a technical domain that requires precision. Healthcare, finance, manufacturing, or enterprise. The stakes of getting it wrong are high enough that you need someone who's worked in environments where shortcuts compound.
You've tried to hire for this and couldn't find it. The technical people don't speak market. The market people don't understand the system. You need one person who holds both.
I don't diagnose fast. I go deep first — because in high-stakes domains, the obvious solution is usually the wrong one.
I immerse in your domain before touching the architecture. The constraints you've normalized are usually where the real problem lives.
I map the system as it is, not as it was designed to be. This is where most engagements surface their first real surprise.
I stress-test the solution against scale, compliance, edge cases, and the market you're actually selling into — not the one you're pitching to investors.
I build core infrastructure alongside your team. Not a handoff document — working systems and the knowledge to extend them.
Risk models and compliance systems where audit trails and milliseconds both matter.
Diagnostic platforms, clinical workflows, genomics. Where data privacy and patient outcomes are non-negotiable.
Production analytics, predictive maintenance, supply chain intelligence. Where real-time data meets physical constraints.
Data platforms, workflow automation, decision systems. Where your customers are experts who demand precision.

13+ years building data systems and AI products in the most demanding environments in tech.
Former Head of Product at Cape Privacy (encrypted ML), expert.ai (enterprise NLP), and Arch Systems (manufacturing analytics). I've scaled products through an $800M acquisition and was a guest lecturer at Harvard Medical School on responsible AI in genomics.
I take a small number of engagements at a time. If the fit is right, I become a real part of your team — not a vendor you manage.
A podcast about how AI is more than ChatGPT and Gemini, more than LLMs, and what you need to understand about the history of how we got here.
Helping technical people cut through the noise to understand how AI actually works, and how to think about applying it in practical ways.
That's the challenge I specialize in.