Burhan Qaddoumi

ML Developer Relations Engineer

Hartford, Connecticut, United States
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Summary

🤩
Rockstar
🎓
Top School
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.
code6 years of coding experience
job13 years of employment as a software developer
bookBachelor of Science - BS Physics, Bachelor of Science - BS Physics at West Chester University of Pennsylvania
languagesEnglish, Spanish
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Github Skills (12)

tensorrt10
computer-vision10
pytorch10
deeplearning-ai10
machine-learning10
deep-learning10
python10
exporter9
onnx9
data-export9
exports9
openvino8

Programming languages (15)

MDXPowerShellC++CTeXGoHTMLJupyter Notebook

Github contributions (5)

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ultralytics/ultralytics

Mar 2023 - May 2026

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
Role in this project:
userML Engineer
Contributions:172 reviews, 103 PRs, 517 pushes in 3 years 2 months
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.
image-classificationinstance-segmentationobject-detectionobject-trackingpose-estimation
Discord bot providing image inference using Ultralytics HUB
Contributions:27 PRs, 145 pushes, 3 branches in 9 months
discord-botinferenceultralyticscomputer-visiondiscord
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