Keumgangย Cha
Machine Learning Researcher at CMES Inc.
Busan Metropolitan Area South Korea
Summary
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Top SchoolKeumgang Cha is a Machine Learning Researcher with eight years of experience applying self-supervised learning, large-scale pretraining, and reinforcement learning to remote sensing and ML-driven software systems. Based in Busan, South Korea, he has progressed from R&D roles at startups and space-tech firms to his current research position at CMES Inc., bringing practical MLOps and DataOps expertise to productionizing models. His hands-on skillset spans PyTorch and TensorFlow, and he has a track record of building end-to-end ML pipelines that bridge research prototypes and deployed systems. Keumgangโs background in mechanical engineering (BSc and MSc from Pusan National University) gives him a systems-oriented approach to model design and evaluation. He often focuses on large-scale pretraining strategies tailored for satellite and remote sensing data, a niche that blends domain knowledge with scalable ML methods. Colleagues describe him as a pragmatic researcher who moves quickly from experimental ideas to operational results.
8 years of coding experience
3 years of employment as a software developer
์์ฌ ๊ธฐ๊ณ๊ณตํ, ์์ฌ ๊ธฐ๊ณ๊ณตํ at Pusan National University
Github Skills (103)
video-understanding9
self-supervised-learning9
unity3d9
serve9
backbone9
supervised-learning9
deep-reinforcement-learning8
change-detection8
efficientnet8
generative8
intelligent8
clip8
mobilenet8
toolbox7
resnet7
Programming languages (7)
Github contributions (5)
RLOpensource/IMPALA-Distributed-Tensorflow
Jul 2019 - Jan 2020
Contributions:99 commits, 29 PRs, 84 pushes in 5 months
chagmgang/distributed_reinforcement_learning
Apr 2020 - Jun 2021
implementation of distributed reinforcement learning with distributed tensorflow
Contributions:34 commits, 16 PRs, 36 pushes in 1 year 1 month
tensorflow-distributeddistributed-reinforcement-learningreinforcement-learningtensorflowreinforcement
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