Zhiqing
Software Engineer at Tencent
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolZhiqing is a seasoned software engineer based in Beijing with 11 years of experience building scalable ML and distributed systems across top Chinese tech firms including Tencent, Baidu, and Alibaba. With a strong academic foundation (PhD in Mathematics and advanced engineering degrees), they bridge rigorous theory and production engineering—especially in deep learning frameworks and recommendation systems. Active in PaddlePaddle open-source projects, Zhiqing has improved core distributed communication APIs, optimized Swin Transformer implementations for NPUs, and built data pipelines and model-serving demos integrating Kafka, TFRecord and ODPS. Comfortable across backend, MLOps and documentation, they combine low-level performance fixes (e.g., lazy init for roll ops, NCCL group creation) with developer-friendly docs and deployment automation. Notably, their GitHub motto “Not AI — I build it.” reflects hands-on craftsmanship: turning research-grade models into robust, production-ready components.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Ecole Centrale de MarseilleMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Beihang UniversityMaster of Engineering - MEng, ENGINEERING, Master of Engineering - MEng, ENGINEERING at École Centrale de Pékin
English, French
Github Skills (23)
distributed-training10
back-end-development10
python10
technical-writing10
kafka10
n10
api-documentation10
deep-learning10
tfrecord10
ccl10
np10
paddlepaddle10
computer-vision10
documentation10
image-classification9
Programming languages (7)
Github contributions (5)
PaddlePaddle/Paddle
Apr 2021 - Dec 2022
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Role in this project:
Back-end Developer & MLOps Engineer
Back-end Developer & MLOps EngineerContributions:130 reviews, 53 commits, 103 PRs in 1 year 8 months
Contributions summary:Zhiqing primarily contributed to the PaddlePaddle framework by adding new group communication functionalities within the distributed collective module. They introduced and refined the `new_group` API, improving the creation of communication groups with NCCL backend. The user also addressed documentation issues, ensuring the code's usability and maintainability. Furthermore, the user was involved in elastic fault tolerance, optimizing the build and deployment setup.
pytorchpythonparalleldeep-learningpaddlepaddle
PaddlePaddle/docs
Aug 2021 - Nov 2022
Documentations for PaddlePaddle
Role in this project:Technical Writer
Technical WriterContributions:7 commits, 6 PRs in 1 year 3 months
Contributions summary:Zhiqing primarily contributed to the documentation of the PaddlePaddle framework, specifically focusing on the distributed training features and profiler APIs. Their work involved adding new documentation for features like `new_group`, `repeat_interleave` as well as writing the launch API and distributed deployment guidance. They also made updates to the profiler summary documentation, including new features and views, demonstrating a focus on improving the usability and clarity of the documentation.
deep-learningpaddlepaddledocumentationspaddlepaddle-tutorials
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