Machine Learning Researcher at Stanford Artificial Intelligence Laboratory (SAIL)
Palo Alto, California, United States
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Summary
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Senior
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Top School
Minsik Oh is a machine learning researcher based in Palo Alto with nine years of experience focused on NLP, large language models, reinforcement learning, and personalization. He currently researches representation learning and LLM post-training and text generation at Stanford AI Lab, after industry roles at Amazon/AWS where he worked on representation learning, structured-data NER, and multi-tenant distributed systems. Minsik has startup founder experience and a track record of turning RL ideas into publishable work quickly, having taken an RL paper from ideation to authorship in three months during a NAVER Clova internship. He holds a Master's in Artificial Intelligence from Stanford and dual bachelor's degrees in Physics and Computer Science from KAIST, blending strong theoretical grounding with production ML engineering. Notably, his profile bridges academic rigor and product-focused engineering, enabling fast translation of research into deployable systems.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree Physics & Computer Science, Bachelor's degree Physics & Computer Science at Korea Advanced Institute of Science and Technology
Graduate, Graduate at Sejong Science Highschool
Master's degree Artificial Intelligence, Master's degree Artificial Intelligence at Stanford University
Lightweight Android MVI library for uni-directional architecture
Contributions:6 commits, 6 PRs, 48 pushes in 1 year 2 months
mvi-androidmvvmandroidkotlinandroid-architecture
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