Mookyung Song

Researcher at NCSOFT

Seongnam-si, South Korea
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Summary

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Senior
🎓
Top School
Mookyung Song is a researcher with 11 years of experience focused on computer vision and AI, currently advancing applied research at NCSOFT in Seongnam-si. With an MS in Electrical Science and Computer Engineering from Brown University, he blends rigorous academic foundations with industry-driven problem solving in game and media technologies. Since joining NCSOFT in 2017 he has likely translated vision research into production-relevant systems, bridging prototypes and scalable implementations. Known for a focused technical depth rather than broad public-facing open-source activity, he brings steady research maturity and domain expertise to complex perception challenges in interactive entertainment.
code10 years of coding experience
bookMaster of Science - MS, Electrical Science and Computer Engineering, Master of Science - MS, Electrical Science and Computer Engineering at Brown University
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Github Skills (134)

fastapi10
python10
json-schema10
swagger10
subclassing10
deep-learning10
image-generation10
asgi10
mnist10
labelme10
streamlit10
pydantic10
serve10
openapi10
async10

Programming languages (11)

TypeScriptJavaDockerfileJinjaC++RustJavaScriptGo

Github contributions (5)

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moono/tf-cnn-mnist

Mar 2018 - Apr 2019

Contributions:67 commits, 31 pushes, 1 branch in 1 year
moono/moono.github.io

Jul 2017 - Mar 2022

Contributions:33 pushes, 1 branch in 4 years 8 months
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Mookyung Song - Researcher at NCSOFT