I'm a Senior Product Manager with five years of experience building AI/ML platforms and infrastructure at scale, from early-stage startups to FAANG. I've shipped at every stage: scrappy zero-to-one builds where I was writing requirements, running user interviews, and partnering with the CTO in the same week, all the way to billion-transaction platforms spanning 150+ devices across 40+ facilities in six countries.
I'm the kind of PM who treats data as the price of admission for every decision. I write my own complex queries to surface the insights that shape strategy, and I build my own mocks and prototypes to make the vision tangible before asking engineering to commit. That same instinct carries into everything I do. On nights and weekends, I'm building open-source multi-agent AI systems, orchestration layers, eval frameworks, and agentic tools, because the problems at the frontier of AI are too interesting to just manage from a roadmap. The goal is always the same: understand the system deeply enough to know where it breaks and what to build next.
Owned AI product strategy, hardware sensor infrastructure, and platform roadmap across Amazon Shipping's 40+ facility global network. Accountable for the three to five year technology roadmap driving $380M+ in combined impact. Led cross-functional programs spanning data scientists, ML engineers, hardware teams, and operations.
Think of these as the components that make the system run. Each one has been stress-tested in production at Amazon scale.
AI-native tools built on nights and weekends. Open source projects giving back to the community while pushing the boundaries of what AI agents can do.