i buildai systemsfrom problem → scale

I've spent the last few years working at the intersection of machine learning and product - not from the sidelines, but inside messy, real systems. I started as a data scientist, which means I know what happens when a model meets messy data at 2AM.

Over time, I moved into product because I cared less about models in isolation and more about whether they actually shipped, got used, and moved a business metric. Today, I work as an AI Product Manager - sitting between engineering teams and users.

My work has touched systems across analytics, supply chain, and generative AI - from LLM-powered internal tools to optimization engines running daily operations. The common thread in all of it: making complex systems feel simple.