I work at the intersection of ML research/engineering, organizational design, and business strategy. I can help you build and scale your ML organization to drive real business impact.
Building an ML organization?
Let's see if I can help.

I embed with your leadership team to set AI strategy, build (or restructure) your ML organization, establish governance frameworks, and create the technical roadmap. I've built the organizational infrastructure that lets ML teams do great work. If you're scaling from 5 to 50, or your existing ML org is underperforming, I can diagnose and fix the structural issues.
I designed and shipped AI/ML workflows that work in production —multi-step pipelines where AI agents autonomously plan, generate, and validate outputs at scale. I help companies move from LLM demos to production-grade agentic systems with real reliability and observability. I bridge the gap between what's possible in research and what works in production helping companies structure teams, processes, and infrastructure so that R&D actually ships.
Most engineering teams treat AI as something they add to a product. I help organizations make it foundational—overhauling their SDLC, developer tooling, and engineering practices so that AI accelerates every stage from design through deployment. From establishing LLM evaluation standards and prompt engineering practices to rolling out AI-assisted development workflows and agentic CI/CD pipelines, I've guided engineering organizations through this shift and know how to modernize without disrupting what's already working.
Each model is designed for a different stage of AI maturity and organizational need.
Publications, talks, and practical writing on building ML systems that work in the real world.
30-minute discovery call. No sales deck. I'll tell you honestly if I'm the right fit—and if I'm not, I'll point you to someone who is.