Staff Technical Program Manager @ Uber, Microsoft

Principal PM @ Microsoft working on Azure for the US Government. I know Cloud Compute, Storage, and Networking pretty well and DevOps (ie: Deployment, Incident Management, and Monitoring) and how to build these things in restricted Cloud environments REALLY well. I also worked about 3Y with Hololens and the MSR team building ML infrastructure for generating synthetic data at scale for computer vision models and K8s based training/inference for ML models on top of Azure. I also worked at Uber as a Staff TPM on their ML Platform team, Michelangelo, and spent about two years driving the adoption and migration of all of Uber's most important ML driven business apps (eg: ETA prediction, Recommendation and Rankings for both Rides and Eats, Automated Promotion Campaigns Pricing) to ******* learning models. Right now I'm at at a startup called Anyscale who runs Ray: a distributed machine learning framework that's powering most of the generative AI and LLM space, both on training, data processing, and serving.