Wei Han
Software Engineer at Modular
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolWei Han is a software engineer with a PhD in Computer Science from Colorado School of Mines and eight years of experience building high-performance systems for GPUs and heterogeneous platforms. He researched GPU-based graph analytics and GPU sharing to boost hardware utilization, then applied that expertise at AMD working on the TensorFlow runtime for ROCm before moving to kernel development at Modular AI. Based in Austin, he combines practical systems engineering with a strong research background, regularly optimizing runtimes and kernel-level performance. His early work includes distributed heterogeneous frameworks and large video projects at Huawei, showing comfort with both scale and low-level optimization. Beyond engineering, he pursues theoretical many-body physics, differential geometry, and astronomy, bringing a mathematically curious lens to systems problems. Known for pragmatic code that respects hardware limits, he bridges academic rigor and production-grade implementation.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Colorado School of Mines
Github Skills (23)
python9
gpu9
efficientnet8
backbone8
deep-learning8
machine-learning8
neural-network7
numpy7
tensorflow7
object-detection6
computer-vision6
loss6
gpu-acceleration6
tensor6
acceleration6
Programming languages (1)
Github contributions (5)
weihancug/Sampling-Balance_Multi-stage_Network
Jun 2020 - Dec 2020
Contributions:4 commits, 4 pushes, 1 branch in 6 months
weihancug/10-category-UAV-small-weak-object-detection-dataset-UAVOD10
Jun 2022 - Aug 2022
Contributions:17 commits, 14 pushes in 2 months
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