Advisory & Consulting

I've spent 20 years building systems other people bet their business on: pricing engines that move basis points on every loan, a compliance platform millions of students take exams through, security infrastructure protecting enterprise data. At a certain point of stakes, people stop asking me to build and start asking me to judge whether something someone else built will hold up.

Four situations where that's useful:

AI Implementation Strategy

Leadership teams deciding where AI actually belongs in a regulated or precision-critical product.

At BetterMenu, AI writes the assistive copy and generates insights. It does not touch the nutrition math, which stays deterministic and is backed by 10,000+ tests because it's FDA-regulated and a wrong number is a real problem, not a bug ticket. Most companies right now are guessing at that line rather than deciding it deliberately.

The same principle drives TrueCalc, a deterministic formula engine built so AI agents get reliable arithmetic instead of model-generated numbers. It matches Google Sheets function-for-function, passes 12,671 conformance tests, and exports every calculation as auditable, version-controlled JSON, built for fintech and audit use cases where an estimate from a model isn't an acceptable answer.

I'll help you find that line for your own systems, before a compliance review or a customer finds it for you.

Technical Due Diligence & Investment Advisory

VC and PE firms who need a technical read on a target before capital moves.

M&A volume is at its highest point since 2021, and diligence windows have shrunk to 30–45 days for work that properly takes 60–90. A growing share of what gets asked isn't "is the code good" anymore. It's "is this AI claim real." Twenty years across fintech pricing systems (Nomis), enterprise security (Skyhigh), ad-tech at scale (Yahoo), and a regulated compliance platform I built myself (BetterMenu) is what I bring to that read, plus enough time inside AI products to tell a working model from a demo built to look further along than it is.

Fractional Technology Advisor to Founders

Pre-Series A/B founders making stack, vendor, and hiring calls they can't yet afford to get wrong.

Founders I've advised have used that judgment to raise multi-million dollar seed rounds: partly the decisions themselves, partly having someone in the room who's been through 0→1 before and can back the technical story in front of investors. The same judgment drives real vendor decisions: I picked up Rill Data and PostHog early, built the internal case for each, and the companies I was working with bought licenses on my recommendation.

If the right founder needs more than advice, I'm open to taking on the 0→1 build directly, not just advising on it. BetterMenu and TrueCalc are both proof I can carry a product from idea to production alone.

Expert Witness & Litigation Consulting

Attorneys who need a technical opinion on software architecture, security failures, or fintech systems.

Same background as the sections above (enterprise security, fintech transaction systems, large platform architecture), applied to a different question: what actually happened in the code, whether it matches what was claimed, and whether the outcome was foreseeable. I can write and explain that opinion for a jury, not just for other engineers.

If one of these matches what you're facing, email me at . I'll tell you directly whether I'm the right fit.