Junho Shin is a Deep Learning Engineer with nine years of experience, currently maintaining the netspresso-trainer at Nota AI and based in Daejeon, South Korea. He holds both a bachelor's and a master's in Computer Science and Engineering (AI) from Chungnam National University, where his CVPR 2023–accepted work on face clustering demonstrated a strong research-to-application mindset. Junho blends academic rigor with production engineering, moving models from experimental papers into maintainable training infrastructure. His background as an assistant researcher and current open-source stewardship signal a focus on reproducible, deployable deep learning systems rather than purely theoretical work. Colleagues describe him as a pragmatic problem solver who bridges advanced computer vision research and practical ML tooling.
8 years of coding experience
Master's degree, Computer Science and Engineering (Artificial Intelligence), Master's degree, Computer Science and Engineering (Artificial Intelligence) at Chungnam National University
Contributions:34 PRs, 40 pushes, 6 branches in 19 days
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