I think in systems, not features.

I started in numbers. I trained as an accountant, passed the CPA exams, and spent my early career at Deloitte in financial reporting, where I kept gravitating toward the same thing: not just running the process, but fixing it. I volunteered for the team that piloted and rolled out new audit software, and that's where it clicked. I didn't want to operate systems. I wanted to build better ones.

That instinct has shaped every role since. I architected subscription-billing infrastructure at Nexamp that scaled the business 200x. I re-architected analytics and platform systems at Savage X Fenty during hyper-growth. And at Skin Laundry I went from Technical PM to Principal PM, building clinical and client platforms across 55+ clinics, including the company's first end-to-end system for measuring whether treatments actually work.

The thread is the same. I see the whole system, find where it's quietly breaking, and build the thing that makes it work at scale. Lately that means building with AI: agent-based workflows, AI-driven measurement, and an adoption strategy I proved out by shipping it myself.