Bryan Kim is a software engineer specializing in machine learning with nine years of experience building production ML systems for large-scale consumer products. Currently pursuing an MS in Computer Science at Stanford while engineering ranking models for Instagram, he previously architected ML features for Facebook video products including Watch, Live, and Reels. His background bridges rigorous research and production: as an undergraduate he published early work applying CNNs to gamma‑ray telescope data and co-created the CTLearn open-source toolkit, and as a research assistant he helped build precision C++ control software for a prototype telescope. He has taught and developed coursework for large AI/ML and databases classes at Stanford, demonstrating an ability to communicate complex ideas to diverse audiences. Based in New York, Bryan combines academic depth with hands-on impact shipping high-throughput systems at Meta-scale.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Arts (B.A.) Magna cum laude Computer Science Physics, Bachelor of Arts (B.A.) Magna cum laude Computer Science Physics at Columbia University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Stanford University
DL1 HDF5 format IACT data writer + reader + processor
Contributions:15 releases, 524 commits, 20 PRs in 2 years 8 months
data-writerreader-writerhdf5readerwriter
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Bryan Kim - Software Engineer, Machine Learning at Instagram