Jeongtae Lee
Researcher at NAVER Corp
Gyeonggi, South Korea
Summary
👤
Senior🎓
Top SchoolJeongtae Lee is a research engineer with eight years of experience specializing in computer vision and large-scale classification, currently researching at NAVER Corp after roles at Omnious and ETRI. He has hands-on expertise in object detection, recognition, color descriptors and practical ML solutions, grounded in graduate studies in machine learning at UNIST and a strong computer science bachelor’s degree. Known for a sociable, patient and challenge-seeking approach, he combines experimental research with production-minded engineering. His early work included language-processing tooling and automated Chinese word extraction, reflecting a willingness to tackle varied problems across vision and NLP. Based in Gyeonggi, South Korea, he brings both academic rigor and startup-speed execution to applied research projects. Colleagues describe him as faithful and resilient—qualities that help push models from prototype to deployment.
8 years of coding experience
3 years of employment as a software developer
학사(Bachelor of Computer Science), 컴퓨터 공학(Major in Computer Science), 4.04/4.5(GPA), 학사(Bachelor of Computer Science), 컴퓨터 공학(Major in Computer Science), 4.04/4.5(GPA) at 한국해양대학교기계학습, 기계학습 at 울산과학기술원
Korean, English, Japanese
Github Skills (39)
jetson-xavier10
datasets9
classification9
machine-learning9
tensorrt9
torchvision9
computer-vision9
efficientnet8
python8
deep-learning8
gpu8
convolutional-neural-networks8
pytorch8
converter8
model-compression7
Programming languages (1)
Github contributions (5)
jeong-tae/RACNN-pytorch
May 2018 - Mar 2020
Contributions:24 commits, 2 comments in 1 year 10 months
jtlee90/res-model-torch2trt
Oct 2019 - Oct 2019
An easy to use PyTorch to TensorRT converter
Contributions:13 commits, 13 pushes in 12 days
pytorchimagenetbackbonetensorrtre-identification
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