Jongkuk Lim

AI Engineer at KT

Yongin-si, South Korea
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Summary

👤
Senior
🎓
Top School
Jongkuk Lim is an AI engineer with a decade of experience specializing in deep learning model optimization, MLOps, and edge inference, currently applying his skills at KT. He has a strong research background (PhD) and a track record of delivering dramatic speedups—up to 1,200% in vision models and 200–300% improvements via distributed AutoML, PTQ, and NPU deployment—while preserving model performance. Jongkuk designs production-ready tooling and workflows, introducing CI/CD, Docker-based pipelines, and an AutoML results dashboard that reduced redundancy and boosted team collaboration. His projects span practical domains from GPS spoofing defense and autonomous indoor drone navigation to wearable-sensor activity recognition for stroke rehab, demonstrating an ability to move quickly into new fields and produce tangible results. Based in Yongin-si, South Korea, he combines academic rigor with hands-on engineering and a curiosity for edge computing and fitness tech.
code10 years of coding experience
job6 years of employment as a software developer
bookPh.D, Computer Engineering, 4.0 / 4.5, Ph.D, Computer Engineering, 4.0 / 4.5 at Dankook University
languagesEnglish
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Stackoverflow

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Github Skills (68)

powerline10
screen10
shell10
cli10
tmux-configuration10
tty10
console10
tpm10
tmux10
tmux-theme10
object-detection9
python9
tensorflow-lite9
deep-learning9
pytorch9

Programming languages (9)

TypeScriptC++ShellGoHTMLSwiftVim scriptJupyter Notebook

Github contributions (5)

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j-marple-dev/AYolov2

Sep 2021 - Sep 2022

Contributions:41 commits, 7 PRs, 7 pushes in 11 months
pytorchobject-detectionmodelcompressiontensordecompositionobjectdetection
JeiKeiLim/TIL

Aug 2024 - Dec 2025

Contributions:189 pushes, 1 branch in 1 year 3 months
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