Alex Epstein
I build machine learning systems and the distributed infrastructure that makes them fast. Most of my work involves getting smart algorithms to work reliably at scale.
What I Do
I build machine learning systems that actually work in the real world. You know that feeling when you get a model working perfectly on your laptop, then realize you need to make it serve millions of users?
Most of my time goes into two things: making smart algorithms extract useful stuff from messy data, and building the infrastructure to make it all run fast. I've built recommendation engines, intelligent agents for financial insights, and the kind of distributed systems that keep everything humming along without users noticing.
I'm also into the tooling side, creating frameworks and tools that help ML teams move faster and spend less time wrestling with infrastructure. Plus, I have a soft spot for audio ML work. There's something cool about teaching computers to understand sound the way we do.
My academic background is a mix of computer engineering, machine learning, signal processing, and optimization. Honestly, it's given me a pretty solid foundation in both the theoretical stuff and the practical "how do I actually make this work in production" side of modern AI systems.
Most of my time goes into two things: making smart algorithms extract useful stuff from messy data, and building the infrastructure to make it all run fast. I've built recommendation engines, intelligent agents for financial insights, and the kind of distributed systems that keep everything humming along without users noticing.
I'm also into the tooling side, creating frameworks and tools that help ML teams move faster and spend less time wrestling with infrastructure. Plus, I have a soft spot for audio ML work. There's something cool about teaching computers to understand sound the way we do.
My academic background is a mix of computer engineering, machine learning, signal processing, and optimization. Honestly, it's given me a pretty solid foundation in both the theoretical stuff and the practical "how do I actually make this work in production" side of modern AI systems.