Moo Kim
PhD Candidate
Palo Alto, California, United States
Summary
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RockstarMoo Kim is a Stanford CS PhD candidate and researcher based in Palo Alto with nine years of industry experience focused on large language model post-training, currently contributing to Marin, Stanford’s open-source foundation model initiative. He blends deep academic rigor with hands-on ML engineering, translating cutting-edge research into practical model improvements and tooling. With a background that bridges academia and applied open-source work, he is comfortable navigating both experimental research and production-oriented workflows. Colleagues can expect a pragmatic researcher who values reproducibility and community collaboration, often surfacing less obvious optimizations in model fine-tuning and evaluation.
9 years of coding experience
Github Skills (14)
react5
javascript4
medical3
angular2
android-application1
pytorch1
image-translation1
deep-learning1
computer-graphics1
android-app1
android1
translation1
android-development1
kotlin1
Programming languages (4)
Github contributions (5)
moojink/RDBMS
Feb 2018 - Jun 2018
Contributions:18 commits, 2 pushes, 1 branch in 4 months
openvla/openvla
Jun 2024 - Mar 2025
OpenVLA: An open-source vision-language-action model for robotic manipulation.
Contributions:5 PRs, 32 pushes, 5 branches in 9 months
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