Donghyeon Lee
Staff Engineer at Qualcomm
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolDonghyeon Lee is a Staff Engineer and machine learning specialist based in San Diego with 8 years of experience building ISP and computational photography solutions for mobile and embedded platforms. He holds a PhD from Seoul National University and has led development of deep-learning fusion, noise reduction, temporal filtering, and super-resolution engines at Samsung and Qualcomm, optimizing CNN architectures for NPUs and ASIC deployment. Equally comfortable in research and production, he implements and verifies models in C++ within full ISP chains to meet real-time camera constraints. His work focuses on improving low-light and challenging-condition imaging, blending academic rigor with hands-on system integration for consumer silicon. An email-contactable researcher, he brings rare end-to-end expertise from PhD-level imaging research to shipped mobile silicon.
8 years of coding experience
3 years of employment as a software developer
Doctor of Engineering, Electrical and Computer Engineering, Doctor of Engineering, Electrical and Computer Engineering at Seoul National UniversityBachelor of Engineering (BEng), Electronic engneering, Bachelor of Engineering (BEng), Electronic engneering at Sogang University
English, Korean
Github Skills (40)
face-detection10
angulardart10
python10
machine-learning10
pattern10
deep-learning10
segmentation10
unidirectional-data-flow10
face-recognition10
dart-web10
object-detection10
computer-vision10
state-management10
visual-recognition10
bloc10
Programming languages (4)
Github contributions (5)
donghyeon/seoul
May 2018 - Feb 2019
Seoul Urban Data Science Research
Contributions:58 commits, 1 PR, 48 pushes in 9 months
sciencedata-scienceseouldata-science-researchurban-data-science
donghyeon/detectron2
May 2020 - Nov 2023
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
Contributions:10 pushes, 2 branches in 3 years 6 months
pytorchnext-generationdetectron2detectiondeep-learning
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