Mohamed Hendawy

I helped plan and build, with the team, a real-time computer vision system for kitchen safety and hygiene monitoring. Hands-on work includes object detection, person tracking, temporal stabilization, and service contracts for downstream violation processing.

I train and evaluate models, keep annotation workflows and dataset quality in order, and write scenario-based regression tests, including hard-negative cases. I keep experiments reproducible and put CI checks around the work.

I supervise two computer vision engineers, review their work, and plan tasks with the team lead. I remain hands-on.

I build real-time perception and robotics software for autonomous outdoor vehicles, with the team. That includes object detection, segmentation, multi-object tracking, and multi-camera obstruction monitoring.

I work on camera orientation using roll, pitch, and yaw signals, autonomy and teleoperation safety behavior, remote-standby fallbacks, motion and attachment controls, and operator diagnostics. I also work on LiDAR mapping and path planning, and on ROS and Gazebo simulation for articulated robots.

I built annotation and segmentation workflows using SAM and YOLO.