Summary
Doyoung Kim is a software engineer based in Berkeley with eight years of experience building scalable AI serving and cloud-native infrastructure. A UC Berkeley EECS graduate with an applied math background, he has combined research and production work—from RISE Lab and SkyPilot research on multi-cloud LLM training to mission-driven ML at NASA JPL. At Zoom he moved from core engineering to machine learning infrastructure, and he now contributes to Ray Serve at Anyscale, focusing on large-model deployment and inference serving. He bridges academic rigor and production constraints, often translating prototype research into robust, deployable systems. Notably, his work spans both low-level distributed systems and ML model serving, making him fluent in the full stack of modern AI deployment.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Electrical Engineering and Computer Science, Bachelor of Science - BS, Electrical Engineering and Computer Science at University of California, Berkeley