Ziyu Wang
Senior GPU Performace Architect at Nvidia
Yangpu District, Shanghai, China
Summary
👤
Senior🎓
Top SchoolZiyu Wang is a Senior GPU Performance Architect at NVIDIA with nine years of experience optimizing GPU systems for deep learning workloads. He combines academic rigor from Fudan University with practical industry impact—building performance models, profiling pipelines, and translating algorithmic needs into hardware-aware software. His background includes ML and signal-processing research (epilepsy prediction, gait analysis) and hands-on ML platform and deployment work from internships at Microsoft and Cisco. Ziyu is fluent in bridging research and production: he has implemented PyTorch JIT/TorchScript loading, AI platform benchmarks, and anomaly-detection models for networking. Based in Shanghai, he brings a cross-disciplinary perspective that spans embedded sensing, large-scale ML tooling, and low-level GPU optimization. Colleagues value his ability to spot non-obvious performance bottlenecks and turn them into measurable system wins.
9 years of coding experience
3 years of employment as a software developer
Master of Technology - MTech, Electronic and Communication Engineering, Master of Technology - MTech, Electronic and Communication Engineering at Fudan UniversityMaster of Technology - MTech, Electronic and Communication Engineering, Master of Technology - MTech, Electronic and Communication Engineering at Turun yliopisto - University of Turku
Github Skills (36)
code-testing10
python10
machine-learning10
deep-learning10
gpu10
numpy9
acceleration9
tensorflow9
neural-network9
tensor9
gpu-acceleration9
autograd8
testing6
debug4
debugging4
Programming languages (5)
Github contributions (5)
NeilWangziyu/Leetcode_py
Nov 2018 - Oct 2019
Contributions:261 commits, 248 pushes, 1 branch in 10 months
NeilWangziyu/MachineLearning
Jul 2018 - Nov 2019
Ziyu machine learning testing code
Contributions:68 commits, 61 pushes in 1 year 4 months
testingmachine-learningmachine-learning-testingscikit-learncode-testing
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