Wei Zong
Beijing, China
Summary
👤
Senior🎓
Top SchoolWei Zong is an AI Software Solutions Engineer with 11 years of deep expertise in computer vision, imaging pipelines, and heterogeneous parallel programming, now applying that skillset at Intel to enable large language and multimodal models on Habana/Gaudi hardware. He built and optimized image quality algorithms (AEC/AWB/AF, TNR, local tone mapping) and high-performance GPU/OpenCL implementations, and was a long-time maintainer and contributor to the widely used libXCam project. His background spans camera systems from mobile to automotive and includes Bluetooth stack and driver work, reflecting a rare combination of low-level systems engineering and higher-level AI model enablement. Based in Beijing, Wei is skilled in C/C++, Python and Matlab and has a track record of shipping production-grade solutions across Intel, Amazon Lab126, Microsoft and Nokia.
11 years of coding experience
16 years of employment as a software developer
Master's degree, Automation Engineer Technology/Technician, Master's degree, Automation Engineer Technology/Technician at Beijing University of Posts and TelecommunicationsBachelor's degree, Automation Engineer Technology/Technician, Bachelor's degree, Automation Engineer Technology/Technician at Xi'an Jiaotong University
Chinese, English
Github Skills (9)
opencl10
c-language10
cprogramming-language10
image-processing10
computer-vision9
multithreading8
gstreamer7
v4l27
vulkan6
Programming languages (5)
Github contributions (5)
intel/libxcam
Apr 2015 - Jul 2022
libXCam is a project for extended camera(not limited in camera) features and focus on image quality improvement and video analysis. There are lots features supported in image pre-processing, image post-processing and smart analysis. This library makes GPU/CPU/ISP working together to improve image quality. OpenCL is used to improve performance in different platforms.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 reviews, 202 commits, 326 PRs in 7 years 4 months
Contributions summary:Wei's commits primarily focus on the implementation and optimization of Automatic Exposure Control (AEC) multi-window metering mode. They have introduced the functionality to map user-specified metering windows to an RGB statistic grid for more accurate AEC calculations. The commits also include code modifications to incorporate temporal noise reduction (TNR) on both RGB and YUV domains. Further contributions involve the addition of a CIQ tuning framework and support for DVS features.
gpuopenclpreprocessing
zongwave/PaddleCustomDevice
Nov 2024 - Jun 2025
PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现)
Contributions:76 pushes in 7 months
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