I started as a software developer, and kept asking myself: are we building the right things? That question pulled 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 close to the work. I have written Python for ML pipelines, pitched to executives, run A/B tests, and sat in grocery stores at 6am watching employees wrestle with manual processes. That is usually where the best product insights show up.
I am building Expired Solutions, an AI platform that cuts grocery waste by 20% using computer vision and LLMs. What I care about most is not the model, it is understanding the workflow deeply enough that the AI can stay in the background. Ideally, users just feel their job getting easier.
I care a lot about applied AI, the kind that ships, survives messy data, and helps real teams move faster. At GRUBBRR, I helped reduce onboarding time by 60% and shipped an AI recommendation engine in 30 days. At Bath and Body Works, I built an LLM tool that saved teams 18 hours per week. Those numbers matter to me because they translate to people getting time back.
I try to be the kind of AI product manager who can write code when it helps, sweat the UX details, read the analytics, and still remember the goal is simple, help people do their jobs better.