AI in the Real World — Lessons Worth Writing Down

20 years of applied ML — from bioinformatics to adtech to enterprise LLMs. A candid conversation about what production AI actually looks like, the gotchas nobody warns you about, and the lessons that only come from shipping real systems.

Myths About AI in Production

The gap between the demo and the deployment. Common beliefs that sound right but break in practice — and what experienced teams do differently.

Leading AI Engineering Teams at Scale

What no one tells you about running AI teams — org structure, build vs buy decisions, managing expectations, and why most enterprise AI projects stall before they ship.