Jonny Kong is a research scientist and engineer with a decade of experience building networked, mobile, and ML systems, currently working on MSL infrastructure at Meta in Menlo Park. He holds a PhD in Computer Engineering from Purdue and an MS from UCLA, and has a strong academic record dating back to a top engineering program in China. At Meta he helped design and migrate production ads ML control-plane infrastructure, implementing config formats and rollout safeguards that enabled global model migrations without downtime. Equally comfortable in research and production settings, he blends systems-level thinking with practical deployment expertise—often focusing on reducing operational risk and automating verification. His GitHub affiliation with Facebook Research signals active engagement with cutting-edge ML infra efforts beyond day-to-day engineering.
10 years of coding experience
Bachelor of Engineering - BE, Automation, Major: 4.00/4.00, Overall: 3.90/4.00, Bachelor of Engineering - BE, Automation, Major: 4.00/4.00, Overall: 3.90/4.00 at Beihang University
Doctor of Philosophy - PhD, Computer Engineering, Doctor of Philosophy - PhD, Computer Engineering at Purdue University
Master of Science - MS, Computer Science, GPA: 3.93/4.00, Master of Science - MS, Computer Science, GPA: 3.93/4.00 at University of California, Los Angeles
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