Bin Long
Staff Software Engineer, Tech Lead at Momenta
Shenzhen, Guangdong Province, China
Summary
🤩
Rockstar🎓
Top SchoolBin Long is a Staff Software Engineer and tech lead with 12 years of experience building high-performance distributed services and AI-driven systems at top Chinese internet firms including Baidu, Huya and Momenta. He designs and ships production ML infrastructure and inference pipelines—from ranking and indexing for search/recommendation to image segmentation and QA inference—while also leading teams and product delivery for autonomous vehicle data visualization and ADAS state machines. At Baidu he contributed to prominent open-source PaddlePaddle projects (PaddleHub, PaddleSeg), adding C++ inference support and practical deployment fixes that improved real-world model serving and offline initialization. He has led R&D organizations of 50 engineers to build big data and ML platforms for personalization and operations, and is known for pragmatic system design, performance optimization and strong problem-solving. Based in Shenzhen, he blends deep low-level engineering (C++ inference optimizations) with product-focused leadership across cloud, AI and embedded domains.
12 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Shanghai Jiao Tong University
English, Chinese, Chinese
Github Skills (16)
continuous-deployment10
paddlepaddle10
computer-vision10
machine-learning10
image-segmentation10
c-language10
inference10
segmentation10
cprogramming-language10
python10
ml-deployment10
deep-learning8
dockers7
tensorrt7
docker7
Programming languages (4)
Github contributions (5)
PaddlePaddle/PaddleSeg
Aug 2019 - Apr 2020
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:91 commits, 5 PRs, 102 pushes in 7 months
Contributions summary:Bin primarily contributed to the inference component of the paddleseg repository. They focused on improving the performance and functionality of the inference module, which included adding Linux building support, fixing bugs related to image loading and prediction, and optimizing the C++ code for normalization and argmax operations. Additionally, the user implemented Python inference capabilities and updated configuration files for exporting and deploying the model.
mattinglane-detectionimage-mattingpanopticsemantic-segmentation
PaddlePaddle/PaddleHub
Aug 2019 - Mar 2020
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:ML Engineer
ML EngineerContributions:45 commits, 40 PRs, 60 pushes in 7 months
Contributions summary:Bin primarily contributed to the deployment and support of a mask detection model. Their work includes adding C++ support for the model and integrating it into a demo, indicating a focus on efficient inference and real-world application. They addressed initialization issues within an offline environment and improved the module installation process, which suggests they also have experience with model deployment and integration with a larger system. Furthermore, they modified the mask detection code and fixed issues related to module matching during installation.
image-textmodelvideoservingcomputer-vision
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