Wenyi Tang
AI Software Developer at 英特尔
Chengdu, Sichuan, China
Summary
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Rockstar🎓
Top SchoolWenyi Tang is an AI software developer with 10 years of experience specializing in deep learning for image and video processing, computer vision, and productionizing AI models. Based in Chengdu, he has advanced expertise in TensorFlow, PyTorch, OpenVINO/TVM inference optimization, and low-level kernel development across Intel GPUs and NPUs using OpenCL, HLSL/GLSL, C++ and Python. At Intel he has driven inference optimizations, BYOD for TVM/OpenVINO and custom kernel/NPU development, bridging research-quality models into high-performance deployment. His background in microelectronics from Peking University and a track record at Intel Labs reflect a strong mix of hardware-aware ML engineering and kernel-level coding, making him effective at squeezing performance from constrained devices. He’s the kind of practitioner who moves seamlessly between algorithmic video enhancement research and gritty low-level implementation details.
10 years of coding experience
7 years of employment as a software developer
硕士 微电子, 硕士 微电子 at Peking University
Chinese, English
Stackoverflow
51reputation
602reached
1answer
1question
Github Skills (174)
python10
diffusion-models10
deep-learning10
instance-segmentation10
gpu10
vision-transformer10
faster-rcnn10
cpp10
clang10
steamvr10
opencl10
javascript10
clang-tidy10
intel10
openmmlab10
Programming languages (12)
Github contributions (5)
LoSealL/tensorflow-cmake
Aug 2018 - Nov 2018
Contributions:2 releases, 19 commits, 14 pushes in 2 months
LoSealL/ppq
Oct 2023 - Apr 2025
PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
Contributions:4 reviews, 42 PRs, 40 pushes in 1 year 6 months
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