I left a $100K/year jobto train teams to ship production AI.

The job was good. Six figures, interesting problems, a clear ladder. But everywhere I looked (inside my own company and across the industry) I saw the same gap: teams could follow a tutorial, yet they couldn't ship. The hard part was never the demo. It was what breaks at scale, what production actually demands, and how real AI products get built, governed, and sold.

I knew that gap personally. I had spent a decade on both sides of it, publishing research in academia and shipping systems in industry. I had founded a startup, taken it to a successful exit, and learned the hard way what separates a working demo from a product people pay for. That knowledge was too useful to keep inside one company.

So I left, and went all in on KGP Talkie. Today I run hands-on AI training for engineering, data, product, and leadership teams, tailored to each organization's stack, use cases, and governance needs. The same code-first programs reach more than 200,000 learners worldwide, all making the same jump: from following along to shipping their own RAG systems, AI agents, and machine learning products.