Haoyu Shen
Vice President, Business Operations
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolHaoyu Shen is a senior business leader and operator with over two decades of experience spanning strategy, product management, and business operations, currently serving as Vice President of Business Operations at Baidu in Beijing. He combines a strong finance and consulting background—from an MBA in Finance and early roles at McKinsey and Sinochem—to lead commercial and operational programs at scale. Prior senior roles at American Express honed his product and customer-acquisition expertise across global and US consumer businesses. Although primarily a business executive, he engages with machine learning engineering through open-source contributions to prominent PaddlePaddle projects, adding practical semantic segmentation models to PaddleHub and PaddleSeg. That blend of hands-on ML code work and executive-level strategy gives him rare credibility bridging technical teams and business stakeholders. Known for translating complex analytics into executable growth plans, he excels at aligning product, data, and go-to-market execution.
8 years of coding experience
7 years of employment as a software developer
Bachelor, International Finance, Bachelor, International Finance at Renmin University of ChinaMBA, Finance, MBA, Finance at University of Iowa
Github Skills (18)
pytorch10
integrate10
python10
model-driven10
attention-mechanism10
semantic-segmentation10
integrations10
model-building10
image-segmentation10
deep-learning10
segmentation10
paddlepaddle10
computer-vision10
data-integration10
modeling10
Programming languages (4)
Github contributions (5)
PaddlePaddle/PaddleHub
Jul 2020 - Mar 2022
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固，暂停交互，请耐心等待】
Role in this project:
Back-end Developer
Back-end DeveloperContributions:176 reviews, 127 commits, 104 PRs in 1 year 7 months
Contributions summary:Haoyu implemented the `hrnet_w18_samll_v1_humanseg` and `shufflenet_humanseg` models. The primary focus was on modifying and integrating these semantic segmentation models within the `paddlepaddle/paddlehub` framework for image segmentation tasks. The user's work involved adding the model, including necessary files for inference.
image-textmodelvideoservingcomputer-vision
PaddlePaddle/PaddleSeg
Jan 2021 - Dec 2022
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
Role in this project:ML Engineer
ML EngineerContributions:97 reviews, 90 commits, 52 PRs in 1 year 11 months
Contributions summary:Haoyu contributed significantly to the `paddleseg/paddleseg` repository, which focuses on image segmentation. Their commits involved the addition of new segmentation models, namely EMANet and ISANet, which are based on attention mechanisms. Further contributions include implementing an attention block and incorporating PASCAL VOC context and COCO stuff datasets. The user also addressed training and testing inconsistencies in EMANet and fixed a bug in NonLocal2D, improving the overall functionality and usability of the segmentation library. Additionally, the user contributed to adding DNLNet and SFNet models.
mattinglane-detectionimage-mattingpanopticsemantic-segmentation
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