Chulhee Lee
Staff Machine Learning Engineer at Qualcomm
United States
Summary
👤
Senior🎓
Top SchoolChulhee Lee is a Staff Machine Learning Engineer with nine years of experience bridging algorithm, compiler, and hardware design to accelerate deep learning and computer vision workloads. He has driven NPU compiler development and silicon-verified optimizations at Samsung and now pushes ML performance at Qualcomm, specializing in HW/SW co-optimization, tiling/scheduling, and runtime parallelization. His academic background as a postdoctoral researcher at Columbia and a PhD from Seoul National University informs energy-efficient DSP and on-sensor AI work, including practical deployments like a multi-camera vision-based vending system. Known for profiling-driven compiler changes—fast context switching, memory-transfer parallelism, and ISA-aware backends—he combines low-level systems rigor with applied model pruning and ROI strategies to improve real-world inference throughput.
8 years of coding experience
4 years of employment as a software developer
박사 Electric and Computer Engineering, 박사 Electric and Computer Engineering at Seoul National University학사 Electronics Communication and Computer Engineering, 학사 Electronics Communication and Computer Engineering at Hanyang UniversityGithub contributions (5)
cuelee/pleio
Oct 2018 - Nov 2022
Contributions:68 commits, 88 pushes, 33 comments in 4 years 1 month
cuelee/LTPI
Jan 2024 - Oct 2024
Contributions:102 pushes in 9 months
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