Min Hsieh
Freelance at Invest Your Life
New Taipei, Taiwan
Summary
🤩
Rockstar🎓
Top SchoolMin Hsieh is a senior Thunderbolt/USB4 firmware and BIOS engineer with over a decade of hands-on experience enabling and debugging high-speed I/O across BIOS, firmware, hardware, and silicon bring-up. At Intel he has driven customer enablement, led cross-site taskforces to resolve the toughest gating issues, and shepherded Thunderbolt integration from early POCs to Thunderbolt 3/4 and USB4 support on notebook and Chrome OS platforms. He pairs deep low-level debugging skills with product application expertise—helping OEMs with schematic/PCB design, certification, and root-cause analysis—and has built tooling such as a TCSS Debug Kit to accelerate hardware fault isolation. An active contributor to OpenVINO’s backend optimizations, he brings ML inference performance tuning experience to his firmware work. Outside engineering he has mentored campus hires and organized sustained knowledge-sharing programs across Intel Taiwan, demonstrating a rare blend of technical depth and community leadership.
5 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Bioengineering and Biomedical Engineering, Bachelor's degree, Bioengineering and Biomedical Engineering at Yuanpei UniversityMaster's degree, Information Technology, Master's degree, Information Technology at Chaoyang University of Technology
English, Chinese
Github Skills (11)
c-language10
edn10
backend10
cprogramming-language10
performance-optimization10
back-end-development10
openvino10
ai9
machine-learning9
deep-learning9
computer-vision9
Programming languages (2)
Github contributions (5)
openvinotoolkit/openvino
Apr 2021 - Jan 2023
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Backend Developer & ML Engineer
Backend Developer & ML EngineerContributions:492 reviews, 43 commits, 170 PRs in 1 year 9 months
Contributions summary:Min's commits primarily focus on optimizing and refining the OpenVINO toolkit, specifically targeting the Intel clDNN backend. The contributions involve bug fixes, performance improvements, and the integration of OneDNN for handling reorders and other optimizations. The user also addresses issues related to the handling of dynamic shapes and the use of compressed weights in the framework.
aiinferenceopenvinodeep-learningcomputer-vision
byungilm/openvino
Mar 2021 - Jul 2026
OpenVINO™ Toolkit repository
Contributions:8 PRs, 859 pushes, 171 branches in 5 years 5 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
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