Summary
Abdelrahman Helaly is a machine learning researcher and M.Sc. graduate from The American University in Cairo with 10 years of hands-on experience building computer vision and deep learning systems across industry and research. He currently applies ML research at Siemens EDA after roles developing real-time object detection, tracking and velocity estimation pipelines using YOLO, point clouds and Kalman/SORT-style trackers. His background blends practical engineering (camera streaming, Flask backends, Raspberry Pi/ROS-style integrations) with VR and frontend interests from earlier projects and nanodegrees, giving him a rare cross-disciplinary edge. Notably, he has implemented end-to-end vision pipelines that fuse depth data for real-world localization and velocity estimation, reflecting both algorithmic depth and production-minded engineering.
10 years of coding experience
4 years of employment as a software developer
Electrical Department, Facultuy Of Engineering, Electrical Department, Facultuy Of Engineering at Ain Shams University
Deep Learning Nanodegree, Deep Learning Nanodegree at Udacity
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The American University in Cairo
Arabic, German, English