Jeminย Lee
Assistant Professor at Jeonbuk National University
San Jose, California, United States
Summary
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Top SchoolJemin Lee is an assistant professor and applied AI researcher with 12 years of experience bridging academic research and industrial R&D in model compression, compiler-level optimization, and deployment of deep learning models. He has led work at ETRI on quantization, mixed-precision compilers, ONNX- and IR-level optimizations, and co-optimization of pruning and auto-schedulers to produce efficient code for hardware accelerators. His background includes postdoctoral research in context-aware interaction systems and managing large research data platforms, reflecting a rare combination of systems-level ML engineering and human-centered data work. Currently based between San Jose and South Korea, he teaches and mentors graduate students while continuing hands-on research into CNNs, Vision Transformers, and LLM efficiency. Notably, he has experience applying Glow/TVM/Ansor toolchains and DragonBoard-targeted optimization, indicating deep practical knowledge of turning research models into production-ready, hardware-efficient implementations.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science & Engineering, Doctor of Philosophy (Ph.D.) Computer Science & Engineering at Chungnam National University
Korean, English
Github Skills (29)
programming-language10
artificial-intelligence10
machine-learning10
onnx10
keras10
code-generation10
deep-learning10
pytorch9
hardware9
model-compression9
youtube9
scikit-learn9
tensorflow9
ai9
neural-network9
Programming languages (5)
Github contributions (5)
leejaymin/TensorFlowLecture
Jul 2016 - Dec 2017
To make those tutorials, I referred to several tutorials including open courses, YouTube, and Books.
Contributions:1 release, 56 commits, 55 pushes in 1 year 5 months
youtube
leejaymin/machine_learning_coursera_python_octave
Jul 2016 - Oct 2016
Contributions:8 commits, 12 pushes in 3 months
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