I'm a founding Forward Deployed Engineer at Notion, where I built the technical delivery model our team uses to run high-stakes enterprise migrations. I'm also writing The Forward Deployed Engineer's Handbook for O'Reilly, the first definitive guide to the role.

Before Notion I was a Software Engineer at Google and Bloomberg, building certificate authority infrastructure and large-scale data platforms. I've also coached 600+ engineers through career transitions into top companies.

I teach this because I'm doing the job right now, not summarizing it from articles. Everything in my workshops comes from live engagements: real scoping decisions, real security reviews, real stakeholder fights. If you want to break into Applied AI, learn it from the trenches.

I'm an AI Engineering Manager at Accenture, where I design and ship AI, ML, and GenAI solutions for Fortune 500 clients. I've spent the last five years taking AI from prototype to production: building ML pipelines on GCP and Azure, leading MLOps and LLMOps practice, and launching a GenAI tool for retail marketing that hit 90 percent adoption.

Before most people knew what a large language model was, I was building with them. I believe the best time to develop real intuition for a technology is before the hype arrives, when you're just solving problems.

I also love teaching this stuff. I've taught 30+ students per cohort as a data instructor and spent 400+ hours tutoring before that. Enterprise AI has a gap between what tutorials teach and what actually ships. This is where I help you close it.