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Mahmoud Ayyad
Senior Computer Vision Engineer specializing in AI/ML for scientific imaging
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Computer-vision engineer with hands-on experience designing UAV-based production imaging systems for object detection/tracking, including camera selection and resolution/zoom tradeoffs. Improved segmentation/measurement accuracy by implementing orthorectification using ground points plus intrinsic/extrinsic calibration to correct perspective distortion, and has built Python/OpenCV pipelines (including barcode-focused grayscale processing and multithreaded execution).
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Key Strengths
- End-to-end UAV camera system design for object tracking (camera selection + AI detection/tracking)
- Practical tradeoff balancing between resolution, zoom, and downstream AI processing constraints
- Solved aerial measurement/detection distortion via orthorectification using ground control points and camera intrinsics/extrinsics
- Built OpenCV-based image analysis pipelines (including grayscale conversion for barcode use cases)
- Concurrency approach for vision pipelines (parallel tasks on different threads) and pragmatic dropped-frame handling at high FPS
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