Mateen Ulhaq is a software engineer with 11 years of hands-on experience building tooling and algorithms across embedded systems, computer vision, and machine learning. He holds an MASc in Engineering and an Honours BASc in Engineering Physics with a mathematics minor, blending rigorous academic training with practical product and research work. His background spans FPGA and hardware validation, manufacturing automation, and medical imaging—where he prototyped a mobile IV flow estimator using optical flow, Python, Java, and C++ for performance. As an active contributor to CompressAI, he has applied PyTorch expertise to end-to-end compression research, refactoring core modules and integrating datasets like Vimeo-90K. Comfortable moving between low-level hardware utilities and higher-level ML libraries, he brings a pragmatic focus on profiling, optimization, and reproducible tooling. Based in Greater Vancouver, he combines research sensibilities with a track record of shipping reliable, performance-conscious systems.
11 years of coding experience
1 year of employment as a software developer
High School, High School at Pinetree Secondary School
Master of Applied Science - MASc, ENGINEERING, CGPA 4.00, Master of Applied Science - MASc, ENGINEERING, CGPA 4.00 at Simon Fraser University
A PyTorch library and evaluation platform for end-to-end compression research
Role in this project:
ML Engineer
Contributions:5 reviews, 28 commits, 16 PRs in 7 months
Contributions summary:Mateen primarily contributed to the development and maintenance of the `compressai` library, which focuses on end-to-end compression research using PyTorch. Their work included refactoring code, extracting modules, and adding features like the Vimeo-90K dataset integration. They also made various updates to the codebase, including fixing merge issues, and incorporating new modules into the project.
Contributions:1 PR, 374 pushes, 1 branch in 6 years 7 months
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Mateen Ulhaq - Software Engineer at InterDigital Wireless Inc