I've spent the last few years working across applied ML, developing systems that model complex human behavior.

The work feels real when something I've built slips into someone's routine and quietly makes their day easier. My goal is simple: augment human capability.

"To see a world in a grain of sand…" — William Blake

Practically, I've worked across big data stacks building systems and models processing large-scale data, which had to survive real-world messiness.

Along the way, some of that work turned into patents, technologies, and some of it now supports teams who rely on it every day. I wanted to be an inventor ever since I was a kid, and I'm glad to have found a way to make that happen.

"Mathematics is the music of reason." — James Joseph Sylvester

I've helped early builders figure out how AI fits into their product, worked with teams bringing advanced models to market, and mentored people taking on their first serious software projects. Seeing the field from those angles taught me a lot about what actually makes an AI system useful.

Right now, I'm exploring audio and how machine learning might reshape the way we create and experience sound.