Dong Cho
Deep Learning Researcher at Cognex Corporation
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolDong Cho is a deep learning researcher with 11 years of experience applying ML to industrial automation and inspection systems, currently building inspection solutions at Cognex in Seoul. His background spans reinforcement learning for flexible manufacturing systems, CTR-optimized ad image generation at NAVER, and research-driven defect inspection algorithms at SUALAB. Trained in computer and industrial engineering (Yonsei University), he blends systems thinking with practical model development to improve factory intelligence and throughput. Known for an ethos of "Better World," he pursues research that turns automation ideas into deployable, impact-oriented tooling. Notably, his career threads academic rigor with hands-on productization in high-stakes manufacturing environments.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Yonsei University
Korean, English
Github Skills (105)
python10
infrastructure10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
numpy10
ml10
libtorch10
ai10
neural-network10
tensor10
lightning10
artificial-intelligence10
data-science10
Programming languages (8)
Github contributions (5)
davinnovation/davinnovation.github.io
Jan 2015 - Jun 2021
Contributions:27 pushes, 2 branches, 1 tag in 6 years 6 months
davinnovation/pytorch-boilerplate
May 2020 - Mar 2021
The OTHER pytorch boilerplate
Contributions:22 commits, 2 PRs, 20 pushes in 10 months
pytorchpythonboilerplatere-identificationresnet
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