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 (141)
parallel10
python10
deep-learning10
computer-graphics10
gpu10
ray10
gpu-acceleration10
optimization10
mesh-processing10
rendering10
acceleration10
numpy10
neural-network10
object-detection10
odometry10
Programming languages (5)
Github contributions (5)
gliese581gg/YOLO_tensorflow
Feb 2016 - Jan 2019
tensorflow implementation of 'YOLO : Real-Time Object Detection'
Contributions:19 commits, 3 PRs, 18 pushes in 2 years 11 months
object-detectionreal-time-object-detectiontensorflowyoloreal-time
gliese581gg/DQN_tensorflow
Mar 2016 - Dec 2016
Contributions:5 commits, 4 pushes, 1 branch in 9 months
atarideep-learningreinforcement-learningdeep-reinforcement-learningtensorflow
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.