Walter Shen
Web Developer at Baidu, Inc.
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolWalter Shen is a web developer with five years of professional experience and a four-year track record in front-end and full-stack engineering, currently building web platforms at Baidu in Beijing. He is proficient in JavaScript, CSS, HTML, PHP, C#, and SQL Server, and focuses on front-end fundamentals—JavaScript/CSS frameworks, modular development, automation, and performance optimization. He has presented on modern web-building techniques at a Baidu Technical Salon, demonstrating both technical depth and communication skills. Beyond web engineering, he contributes to open-source ML infrastructure by implementing MixNet and related image-classification architectures in the PaddlePaddle ecosystem, showing an ability to bridge web and machine-learning back-end work.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering, Bachelor of Engineering at Beijing Institute of Technology
Github Skills (12)
mask-rcnn10
modeler10
model-building10
paddlepaddle10
computer-vision10
faster-rcnn10
deep-learning10
python10
modeling10
model-driven10
image-classification10
pre-trained-model9
Programming languages (2)
Github contributions (5)
PaddlePaddle/PaddleClas
Apr 2021 - Oct 2022
A treasure chest for visual classification and recognition powered by PaddlePaddle
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:362 reviews, 427 commits, 262 PRs in 1 year 6 months
Contributions summary:Walter contributed to the implementation of the MixNet and other models related to image classification. This involved adding new architectures, such as mixnet_rexnet, to the PaddlePaddle framework for visual classification tasks. The commits demonstrate modification to the source code of the model library and the addition of new modules, indicating active involvement in the development of core model functionalities within the PaddlePaddle ecosystem. The user's work is related to research model architecture and the implementation of these models in a specific library.
classificationpaddlepaddleimage-classificationknowledge-distillationautoaugment
RainFrost1/PaddleClas
Apr 2021 - Oct 2023
A treasure chest for image classification powered by PaddlePaddle
Contributions:253 pushes, 84 branches in 2 years 6 months
image-classificationpaddlepaddle
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