I build cloud-native infrastructure to scale services such as ChatGPT and the API platform at OpenAI. Previously, I was part of the Technical Infrastructure group at Google, where I worked on networked and distributed systems for privacy-preserving technologies and machine learning. Before that, I was a research assistant pursuing a Ph.D. in Computer Science at University of California, Berkeley. I worked at RISELab, the successor of AMPLab where Apache Spark, Mesos, and Ray were born. At RISELab, I researched computer systems and programming language techniques for secure data processing and reinforcement learning. Earlier in my career, I worked as a software engineer and researcher for several years developing data infrastructure using Apache Hadoop, and improving the efficiency and reliability of cloud networking at Microsoft and other places.

I received my M.S. and B.S. in Computer Science from UC Berkeley and KAIST respectively. During my undergraduate years, I was involved in virtualization platform research and learned about the core technology of cloud computing hacking the Xen Hypervisor kernel.