Sangmin Kim
Quantitative Researcher
Seoul, South Korea
Summary
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Top SchoolSangmin Kim is a quantitative researcher and robotics-trained engineer with eight years of experience applying machine learning and autonomy research to real-world systems. Based in Seoul and a summa cum laude graduate from Seoul National University in Mechanical and Electrical/Computer Engineering, he has built end-to-end autonomous driving models, worked on thermal panoptic segmentation, and led data efforts at robotics startups. His background blends hands-on robotics engineering and research internships with teaching experience as an undergraduate TA, reflecting a talent for translating academic advances into production-focused solutions. Currently at Presto as a Quantitative Researcher, he combines strong theoretical grounding from SNU’s AI community with practical deployment experience—an uncommon mix that helps him prioritize safety and robustness in complex perception and localization stacks.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Mechanical Engineering & Electrical and Computer Engineering, 4.07 / 4.3 (Summa Cum Laude), Bachelor's degree, Mechanical Engineering & Electrical and Computer Engineering, 4.07 / 4.3 (Summa Cum Laude) at 서울대학교 (Seoul National University)Seoul Science High SchoolProgramming languages (3)
Github contributions (5)
nstar1125/tribble
Nov 2022 - Dec 2022
Contributions:41 commits, 35 pushes, 1 branch in 1 month
nstar1125/nstar1125
Nov 2023 - Feb 2025
Contributions:7 pushes in 1 year 3 months
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