I started as a software developer, but kept asking myself: are we building the right things? That question led me from engineering into product management, where I could shape not just how we build, but what we build and why.
My Master's from Carnegie Mellon gave me the frameworks, but the real learning came from getting my hands dirty. I've worked across the full spectrum: writing Python for ML pipelines, pitching to C-suite executives, running A/B tests, and sitting in grocery stores at 6am watching employees struggle with manual processes. That's where ideas become solutions.
I'm building Expired Solutions, an AI platform that cuts grocery waste by 20% using computer vision and LLMs. But what excites me most isn't the technology—it's understanding problems so deeply that the AI becomes invisible. Users just see their job getting easier.
I'm obsessed with applied AI. The kind that ships to production, handles messy real-world data, and makes someone's Tuesday better. At GRUBBRR, I cut onboarding time by 60% and shipped an AI recommendation engine in 25 days. At Bath & Body Works, I built an LLM tool that saved teams 18 hours per week. These aren't just metrics—they're real people getting time back.
I believe the best AI product managers can write the code, design the user flow, read the analytics, and still remember that we're just trying to help people do their jobs better.