Shengzhe Li
Machine Learning Engineer at NAVER Corp
South Korea
Summary
👤
Senior🎓
Top SchoolShengzhe Li is a Machine Learning Engineer with 11 years of experience building production-scale ML and computer vision systems, currently driving multimodal product classification at NAVER where his redesign improved accuracy from 60% to 92% and processes 10M products/day. He blends deep research credentials—a Ph.D. in Information and Communication Engineering and multiple SCI publications—with hands-on engineering, having refactored large data pipelines with PySpark, built annotation tooling for 100K products, and deployed Kafka-powered batch workflows. An inventor and award-winner, he holds a patent for simplified camera calibration and led a grand-prize IoT fire-detection project recognized by national industry ministers and TensorFlow/NAVER blogs. Comfortable spanning edge and cloud, he has optimized lightweight DNNs for embedded systems and guided cross-team adoption of ML services, making him adept at turning academic innovations into reliable, high-throughput products.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Software Engineering, 72.7/100, Bachelor of Science (BS), Software Engineering, 72.7/100 at Beihang UniversityDoctor of Philosophy (Ph.D.), Information and Communication Engineering, 4.02/4.50, Doctor of Philosophy (Ph.D.), Information and Communication Engineering, 4.02/4.50 at Inha University
Chinese, Korean, English
Github Skills (8)
surveillance9
calibration9
camera-calibration9
camera8
toolbox8
cuda1
tensorflow1
gpu1
Programming languages (1)
Github contributions (5)
lishengzhe/ccvs
Feb 2015 - Nov 2016
Contributions:25 commits, 1 PR, 22 pushes in 1 year 9 months
video-surveillancetoolboxcamerasurveillancecalibration
lishengzhe/cuda_by_example_vs2017
Dec 2018 - Dec 2018
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. The authors introduce each area of CUDA development through working examples.
Contributions:6 commits, 4 pushes in 3 days
cudateam-platformgpuintroducesenior
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