Burhan Qaddoumi is an ML Developer Relations Engineer with six years of multidisciplinary experience bridging machine learning, engineering, and community engagement from Hartford, CT. He has driven developer-facing work at Ultralytics—contributing to the widely used YOLO repository with enhancements like YOLOv9 Segment models and TensorRT 10 support—and now shapes adoption and feedback loops at Voxel51. His background spans data and solutions engineering, CFD-backed hardware design for pandemic-response projects, and production-focused data pipelines, enabling him to translate research into deployable systems. Known for tackling problems across disciplines, he thrives on exploring unconventional approaches and bringing a fresh, systems-minded perspective to teams.
6 years of coding experience
13 years of employment as a software developer
Bachelor of Science - BS Physics, Bachelor of Science - BS Physics at West Chester University of Pennsylvania
Contributions:169 reviews, 97 PRs, 517 pushes in 2 years
Contributions summary:Burhan primarily contributed to the development and enhancement of the Ultralytics YOLO repository, a project focused on computer vision and deep learning. Their work involved implementing and testing new features related to object detection and segmentation, specifically integrating YOLOv9 Segment models and providing TensorRT 10 support. The user also focused on improving model export functionality to various formats, and optimizing the model's performance.
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