Youlin Hu
HW Engineer at Intel Corporation
Minhang District, Shanghai, China
Summary
🤩
Rockstar🎓
Top SchoolYoulin Hu is a hardware engineer with six years of experience bridging hardware troubleshooting and software-facing test automation at Intel, supported by a longer track record in component engineering and product testing for communications devices. Based in Shanghai, he combines hands-on peripheral development and lab setup with practical support for software teams, helping them adapt equipment and debug across ultrabooks, phones, tablets and IoT devices. He contributes to the open-source OpenVINO toolkit as a back-end developer and test automation engineer, improving numerical ops (Round, Tan) and RNN-related implementations—work that touches a widely used AI inference project. His background in RF components, Beidou module evaluation, and creating test outlines gives him a rare mix of system-level hardware expertise and software-oriented QA rigor.
5 years of coding experience
5 years of employment as a software developer
Bachelor's degree, electronics and information engineering, Bachelor's degree, electronics and information engineering at 电子科技大学
Chinese, Chinese
Github Skills (10)
c-language10
cprogramming-language10
openvino10
testing10
shapes9
ai9
inference9
tensorflow8
computer-vision7
deep-learning7
Programming languages (2)
Github contributions (5)
openvinotoolkit/openvino
Jun 2021 - Jan 2023
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:372 reviews, 34 commits, 82 PRs in 1 year 7 months
Contributions summary:Youlin primarily focused on modifying and testing the reference implementation of the Round operation, including improvements to input type error checking and adding attribute test cases. They addressed code style issues using clang. Furthermore, the user revised the Tan operation by updating documentation, adding template plugin test cases for various data types and resolving compile errors in the openvino-lin environment. They also worked on changes related to the RNNCell and RNNsequence operations.
inference-enginepytorchmodel-optimizerdeep-learninggpu
tiger100256-hu/openvino
Jun 2021 - Apr 2025
OpenVINO™ Toolkit repository
Contributions:32 PRs, 661 pushes, 128 branches in 3 years 9 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
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