Wang Zhen
Computer Engineer at Baidu, Inc.
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolWang Zhen is a seasoned computer engineer with a decade of experience at Baidu, specializing in back-end systems and high-performance machine learning infrastructure. He is an active contributor to the PaddlePaddle ecosystem—improving core framework C++ operators, adding model quantization examples, and optimizing int8 GEMM kernels for the Paddle-Lite inference engine—demonstrating strong low-level performance tuning skills. His work spans engineering and documentation, reflecting both hands-on optimization and clear API communication for model persistence. Based in Beijing with an MS in Computer Science from Hunan University, he combines production-grade engineering with a quiet passion for practical ML tooling, guided by the motto "Stay Hungry, Stay Foolish."
10 years of coding experience
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Hunan University
Github Skills (24)
quants10
c-language10
python10
architecture10
machine-learning10
inference10
api-documentation10
gemfire10
deep-learning10
neural-network10
quantization10
paddlepaddle10
arm10
web-framework10
computer-vision10
Programming languages (6)
Github contributions (5)
PaddlePaddle/Paddle
Jul 2018 - Oct 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
Back-end DeveloperContributions:207 reviews, 200 commits, 289 PRs in 4 years 4 months
Contributions summary:Wang made multiple commits to the PaddlePaddle repository focusing on the core functionality of the framework. These commits include changing the default parameters of the batch function, making modifications to the C++ implementation to improve the performance of a Convolutional Neural Network (CNN) operator and removing arguments from several activation layers. The modifications suggest the user is actively involved in improving and maintaining the framework's functionality.
pytorchpythonparalleldeep-learningpaddlepaddle
PaddlePaddle/models
Mar 2019 - Jan 2021
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Role in this project:ML Engineer
ML EngineerContributions:8 reviews, 21 commits, 54 PRs in 1 year 10 months
Contributions summary:Wang primarily contributed to the development and integration of a quantization example within the PaddlePaddle models repository. Their work involved modifying existing code, adding new files, and creating a `quant.py` file. They incorporated and configured quantization passes and implemented functions for saving and loading model parameters. The user's contributions also included the addition of a new GoogleNet model and changes related to the ResNet50 model, indicating an involvement in various model architectures and optimization techniques.
nlpdeep-learningpaddlepaddlerecommendationcomputer-vision
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