Jinyoung Choi
Software Engineer at NAVER LABS Corp.
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolJinyoung Choi is a software engineer based in Seoul with a decade of experience focused on deep learning for robot perception and control at NAVER LABS. He blends an engineering foundation in electrical and computer engineering with a master's in cognitive science from Seoul National University to tackle perception, decision-making, and embodied intelligence problems. At NAVER LABS he translates research insights into production-capable systems, bridging academic publications with practical robot software. His GitHub and Google Scholar reflect an active research-engineering loop, emphasizing reproducible experiments and applied models rather than purely theoretical work. Colleagues describe him as someone who pairs rigorous experimentation with pragmatic system design to move robotic perception from prototype to field-ready.
10 years of coding experience
석사, Cognitive Science, 석사, Cognitive Science at 서울대학교 (Seoul National University)학사, Electrical and computer engineering, 학사, Electrical and computer engineering at 서울대학교
Github Skills (99)
python10
deep-learning10
computer-graphics10
gpu10
optimization10
rendering10
numpy10
neural-network10
object-detection10
odometry10
reinforcement-learning10
machine-learning10
robotics9
llm-inference9
opengl9
Programming languages (7)
Github contributions (5)
gliese581gg/DQN_tensorflow
Mar 2016 - Dec 2016
Tensorflow implementation of deep Q networks in paper 'Playing Atari with Deep Reinforcement Learning'
Contributions:5 commits, 4 pushes, 1 branch in 9 months
deep-q-networkdeep-reinforcement-learningtensorflow
gliese581gg/A3C_tensorflow
Dec 2016 - Dec 2016
Contributions:15 commits, 14 pushes, 1 branch in 11 days
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