Zhe W
Senior Software Engineer at The New York Times
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolZhe W is a Senior Software Engineer based in New York with six years of focused backend and systems experience and a longer history in QA and automation. At The New York Times he progressed from QA into senior engineering roles, delivering reliable e-commerce and subscription services while championing test-driven practices and CI/CD. He contributes to high-profile open-source ML infrastructure—making substantive backend and device-support fixes to PaddlePaddle (including ROCm and Ascend kernels) and improving framework docs—bringing practical machine learning systems knowledge beyond typical backend work. Comfortable across the stack, Zhe blends production service development, hardware-aware ML engineering, and technical writing, and has a proven track record of improving performance and portability in complex distributed systems.
6 years of coding experience
12 years of employment as a software developer
Bachelor's degree Computer Science & Technology, Bachelor's degree Computer Science & Technology at PLAIEU
English, Chinese
Github Skills (19)
c-language10
python10
operation10
tensorrt10
machine-learning10
kernel10
api-documentation10
roc10
deep-learning10
tensorflow10
kernel-mode10
cuda10
paddlepaddle10
tensor10
cprogramming-language10
Programming languages (3)
Github contributions (5)
PaddlePaddle/PaddleCustomDevice
Mar 2022 - Jan 2023
PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:314 reviews, 37 commits, 390 PRs in 10 months
Contributions summary:Zhe contributed significantly to the implementation of custom device support within the PaddlePaddle framework. Their primary focus was on adding runtime environments and kernels for the Ascend device. This involved creating and integrating various kernels, including those for common operations like Adam, Conv2d, and Pool2d, and restructuring the code for Ascend compatibility. Further contributions included fixing errors and improving existing kernels.
custom-devicechinese-simplifiedpaddlepaddleandroidpaddle
PaddlePaddle/Paddle
Mar 2021 - Jan 2023
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 & ML Engineer
Back-end Developer & ML EngineerContributions:408 reviews, 110 commits, 533 PRs in 1 year 10 months
Contributions summary:Zhe's commits primarily focus on modifying and fixing operations within the PaddlePaddle framework, targeting the ROCm platform. Their contributions involve debugging and fixing code related to various machine learning operations, including gather, softmax_with_cross_entropy, and layer normalization. The user also addresses performance issues by adjusting parameters and configurations to better support the ROCm platform.
pytorchpythonparalleldeep-learningpaddlepaddle
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