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.
10 years of coding experience
6 years of employment as a software developer
Ph.D, Computer Engineering, 4.0 / 4.5, Ph.D, Computer Engineering, 4.0 / 4.5 at Dankook University
Contributions:2 PRs, 9 pushes, 2 branches in 4 years 1 month
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