Hadal Magdy

Computer Vision Engineer focused on physical AI and perception systems for drones, robotics, agriculture, and industrial automation. Builds end-to-end pipelines from data curation and model training through video inference, tracking, localization, API deployment, and simulation-to-physical integration.

Experience includes YOLO-based detection/classification, real-time pose estimation, UR5e perception, digital twins, IoT systems, and cloud/edge deployment.

Computer Vision Engineer at Eagle Vision (2026-09 – Present)

• Developing computer vision solutions for real-world applications, including object detection, PPE compliance, anomaly detection, and video analytics using Python, OpenCV, and deep learning models.

Computer Vision Engineer at Freelancer (2026-06 – Present)

• Built client-facing computer vision systems for agricultural applications, including water-meter reading and orchard fruit analysis.
• Developed a citrus pipeline for fruit detection, tracking, size estimation, and ripe/unripe classification; trained on ~7,000 images and deployed inference to an Oracle cloud server.
• Built a water-meter vision system using YOLO and Flask to return structured meter readings through an API.

Digital Twin Engineer at 4DT.io (2026-04 – 2026-06)

• Developed computer vision and spatial-data pipelines connecting real assets with digital-twin environments for agricultural technology applications.
• Built drone-based palm-tree detection and GPS-localization workflows for an agricultural pollination use case, including a Streamlit mapping dashboard.
• Contributed to production CV + digital-twin workflows, automated data extraction, and deployment.

Digital Twin Intern at Industry 4.0 Center of Excellence (2026-01 – 2026-04)

• Built AI vision and simulation workflows for industrial robotics using NVIDIA Isaac Sim / Omniverse, including UR5e perception, Forward/Inverse Kinematics, and Hardware-in-the-Loop validation.
• Developed pallet detection that reached 100% mAP on the evaluated dataset and built gesture-based face locking/tracking for human-robot interaction.

B.Sc. in Computer Science – Mansoura University (2024)