Engineering leader at Anyscale, managing teams across Ray Data, Ray Train, Ray Core, Ray Serve, and ML Applications - providing end-to-end solutions for distributed machine learning and large language model development.

Managing the teams responsible for Ray's foundational compute and data layers - Core, Data, and Train - enabling scalable, high-performance ML infrastructure for modern AI workloads.

Also lead Ray Serve and LLM Inference and post-training frameworks, helping businesses deploy and optimize large language models in production.

Successfully launched multiple products, achieved over 10x year-over-year user growth.