Shuliang Lin
Senior System Engineer at ZTE
Nanjing City, Jiangsu, China
Summary
👤
Senior🎓
Top SchoolShuliang Lin is a senior system engineer based in Nanjing with 10 years of professional experience designing CPE software, analysing carrier requirements, and liaising directly with customers at ZTE. He brings a strong background in embedded and IT systems from prior roles at NEC and Nanjing Liandi, with hands-on expertise in Java, Oracle, and web-based solutions. Comfortable bridging engineering and customer-facing responsibilities, he has led teams and driven system design decisions that align technical deliverables with operational needs. An active contributor to open-source AI tooling, he has worked on PaddlePaddle/PaddleHub as an MLOps and QA engineer, adding tensorboard-related dependency fixes, unit tests, and integrating pre-trained object detection and classification modules for smoother model deployment. Colleagues describe him as technically focused with a warm, steady presence, aiming to be the best through disciplined craftsmanship and reliable delivery.
10 years of coding experience
4 years of employment as a software developer
Bachelor, Information science, Bachelor, Information science at Nanjing University
Stackoverflow
1reputation
0reached
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0questions
Github Skills (11)
testing10
unit-testing10
paddlepaddle10
deeplearning-ai10
deep-learning10
modello10
unit-test10
python10
tensorflow9
machine-vision9
computer-vision9
Programming languages (6)
Github contributions (5)
PaddlePaddle/PaddleHub
Sep 2019 - Apr 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:
MLOps Engineer & QA Engineer
MLOps Engineer & QA EngineerContributions:5 commits, 20 PRs, 4 comments in 7 months
Contributions summary:Shuliang contributed to the project by adding and modifying dependencies, specifically related to tensorboard. They also implemented unit tests using `unittest`, demonstrating a focus on ensuring code quality and reliability. Further contributions involved updating and integrating pre-trained object detection and image classification modules, indicating an involvement in model management and deployment.
image-textmodelvideoservingcomputer-vision
linshuliang/HubModule
Mar 2020 - Apr 2020
Module repo of PaddleHub
Contributions:127 pushes, 33 branches in 1 month
paddlepaddleclassification
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