Engineer first, always.

I'm a machine learning engineer focused on building AI systems that work in production. My background spans software engineering, data infrastructure, and applied ML — which means I think about the full stack, not just the model.

The problems I find most interesting sit at the intersection of ML and product: how do you design an LLM system that's reliable enough for users to trust? How do you balance accuracy, latency, and cost when they all pull in different directions? How do you ship an AI feature that actually changes behavior?

I've worked across influencer analytics, e-commerce intelligence, enterprise search, and content platforms. In every case, the challenge wasn't just building the model — it was building the system around it.