Sejoon Oh
Los Gatos, California, United States
Summary
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SeniorSejoon Oh is a GenAI ML Research Scientist at Netflix with nine years of experience bridging academic rigor and product-focused AI research. He holds a PhD from Georgia Tech and has a strong publication record in recommender systems, adversarial ML, and generative models developed during graduate research and multiple industry internships. At Netflix he works on foundation models for personalization, intent prediction, and knowledge transfer via distillation, building systems that align large language models with user taste. His background includes scalable tensor factorization and high-performance data mining from earlier projects, bringing a systems-aware perspective to model design and deployment. Sejoon’s blend of academic depth, production internships at industry leaders (Adobe, Home Depot, Watcha), and even prior service as a KATUSA translator highlights both technical versatility and cross-cultural communication skills. He is known for translating complex research into practical recommender and personalization features that measurably improve user intent prediction.
9 years of coding experience
Github Skills (7)
heterogeneous9
factorization8
high-performance5
machine-learning5
algorithms5
modeling2
programming-language1
Programming languages (3)
Github contributions (5)
sejoonoh/sejoonoh.github.io
Mar 2019 - May 2026
Github Pages template for academic personal websites
Contributions:223 pushes in 7 years 3 months
templatejekyllgithub-pages-template
sejoonoh/GTA-Tensor
Jul 2018 - May 2020
High-Performance Tucker Factorization on Heterogeneous Platforms (GTA) - TPDS 2019
Contributions:23 commits, 1 PR, 21 pushes in 1 year 10 months
heterogeneousfactorizationplatformsmachine-learninggta
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