I was building the ML computational infrastructure at Yelp. My focus areas were scalability of containerized ML workloads, resource allocation efficiency, heterogeneous hardware request matching and Auth.

I built microservices and infrastructure from scratch as part of then newly created ML platform team for supporting the e2e ML lifecycle. Some of my focus areas were model serving at scale, training efficiency, model lifecycle management, reproducible containerized environments and experimentation platform efficiency.