Kim Jonggon
AI Software Engineer at LG CNS
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolKim Jonggon is an AI Software Engineer based in Seoul with 9 years of experience building vision and user-facing AI products across enterprise and game-client environments. Trained in deep learning for sequence data, he spent early years on computer vision research and has since focused on shipping models into front-end, back-end, and Unity runtime packages. His recent work includes human matting, face and landmark detection, VAD/denoising, and LLM engineering while driving Next.js/MERN back-office products and production deployment at companies like LG CNS and 컴투버스. He combines a strong academic foundation (MEng in Deep Learning) with practical system-level experience—often owning data collection, model development, server integration, and client SDKs. Pragmatic and product-minded, he prefers building tools that sit close to users yet still digs into papers when a tough problem requires it. Outside work he maintains open-source detector projects and a tech résumé/portfolio that reflects his maker-oriented, revenue-minded ambition.
9 years of coding experience
학사, 로봇학부, 3.79, 학사, 로봇학부, 3.79 at 광운대학교Master of Engineering, Deep Learning, 4.27, Master of Engineering, Deep Learning, 4.27 at Kwangwoon University
English
Github Skills (32)
portable10
mxnet10
tensorlayer10
autoencoder10
detector10
action-recognition10
mutation10
dataflow9
dep9
scheduler9
scala9
gluon9
semantic-segmentation9
julia9
object-detection9
Programming languages (2)
Github contributions (5)
JONGGON/Tensorflow_Advanced_Tutorials
Nov 2018 - Mar 2019
Tensorflow의 고급스러운 사용을 위한 튜토리얼 입니다.
Contributions:61 commits, 184 pushes, 1 branch in 4 months
autoencodertensorlayertensorflowtensorflow2
JONGGON/DeepHumanPrediction
Sep 2017 - Dec 2017
Contributions:51 commits, 119 pushes, 3 branches in 3 months
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