Junkeun Yi
Research Scientist at NVIDIA
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolJunkeun Yi is a research scientist and machine learning engineer with eight years of experience building and productionizing vision and language models from UC Berkeley. Currently at NVIDIA working on Nemotron post-training, he previously led post-training LLM improvements and enterprise-facing agentic capabilities at Nexusflow while designing end-to-end infrastructure for training, evaluation, and serving. His background blends hands-on research in object-centric video understanding at BAIR with practical systems work—Kubernetes automation and distributed database contributions—dating back to internships and NetSys projects. A KATUSA alumnus fluent in cross-cultural, high-stakes collaboration, he pairs rigorous academic training (BS and MS work at Berkeley) with applied ML at scale. Notably, he bridges research and engineering: optimizing model behavior post-training as well as the pipelines that make those models reliable in production.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Electrical Engineering and Computer Science, Master's degree, Electrical Engineering and Computer Science at University of California, Berkeley
Github Skills (6)
scene4
metronome3
transformer2
pytorch2
ios1
music1
Programming languages (3)
Github contributions (5)
junkeun-yi/SAVi-pytorch
Jun 2022 - Aug 2022
Contributions:106 commits, 71 pushes, 7 branches in 2 months
junkeun-yi/iOS-metronome
Mar 2018 - Apr 2018
Contributions:8 PRs, 12 pushes, 9 branches in 1 month
acts-asios-appiosmetronomemusic
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