Alvin Zhang
Research Engineer at Matician
United States
Summary
👤
Senior🎓
Top SchoolAlvin Zhang is a research engineer with a decade of experience building robust perception systems for autonomous robotics, currently focused on home robotics at Matician and headed to a PhD program at EPFL. He has applied perception and ML across startups and research labs—Nuro, Ike Robotics, Berkeley AI Research, and UC Berkeley—bridging academic rigor with production engineering. His work spans full-stack ML pipelines, test-driven development, and real-world deployment, including improving test coverage for the widely used scikit-image library to harden image saving behavior for boolean images. Early projects range from drone-based GCP detection with SSD+ResNet to real-time control systems built from open-source hardware, reflecting a knack for practical, cost-conscious engineering. Colleagues describe him as curious and experimental—“percolatin’” in open-source—and comfortable moving between research code and production-quality systems. He combines strong fundamentals in EECS with hands-on perception expertise to deliver reliable autonomy in challenging, safety-critical contexts.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical Engineering and Computer Science, Bachelor's degree, Electrical Engineering and Computer Science at UC Berkeley College of Engineering
Github Skills (7)
testing10
scikit-image10
python10
image-processing10
computer-vision9
numpy8
pytest8
Programming languages (2)
Github contributions (5)
scikit-image/scikit-image
Oct 2016 - Jan 2017
Image processing in Python
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:8 commits, 3 PRs, 5 comments in 2 months
Contributions summary:Alvin primarily focused on improving the testing framework and test coverage for the `scikit-image` library. Their contributions involved creating new tests to specifically handle boolean image inputs within the `imsave` function. Furthermore, the user updated existing tests in the PIL plugin to reflect the modified behavior of `imsave`. Overall, the user's work was aimed at ensuring the robustness and reliability of image saving operations, particularly concerning boolean image data types.
image-processingpythoncomputer-visionimage
alvinzz/test
Oct 2015 - Sep 2016
Contributions:2 PRs, 1 push, 4 branches in 11 months
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