Huang Zhengjie
Summary
🤩
RockstarZhengjie Huang is a Research and Development Engineer with 11 years of experience in graph learning and backend systems, currently building graph AI at Baidu after earning a master's in computer science from Sun Yat-sen University. He has a strong open-source footprint in PaddlePaddle's PGL project, contributing graph normalization, pooling ops, refactors to remove device dependencies, and a link-prediction model that improved the framework's flexibility. Prior roles span recommendation and NLP-focused internships at Tencent and iPIN.com, reflecting a blend of production engineering and algorithmic research. Based in Guangzhou, he pairs deep academic training with pragmatic contributions to widely used graph learning tooling, signaling both research rigor and production-grade engineering.
11 years of coding experience
Github Skills (8)
paddlepaddle10
graph10
deep-learning10
graph-neural-network10
graph-database10
graph-datastructures10
tensorflow9
tensor9
Programming languages (4)
Github contributions (5)
PaddlePaddle/PGL
Jun 2019 - Jan 2023
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 168 reviews, 370 commits in 3 years 7 months
Contributions summary:Huang primarily contributed to the Paddle Graph Learning (PGL) framework by introducing new features and modifying existing ones. Their work involved adding graph normalization and graph pooling operations, as well as refactoring the graph wrapper to remove dependency on a specific `Place`. They also addressed several issues within the core of the framework, and incorporated a new model for link prediction into the repository.
graph-learningpaddlepaddleheterogeneous-graph-learninggraph-neural-networkgraph-neural-networks
Yelrose/PGL-Wheels
Jun 2019 - Sep 2022
Contributions:2 PRs, 116 pushes, 2 branches in 3 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.