Summary
Ahmed Hosny is a Senior Machine Learning Engineer with a decade of experience building production-ready computer vision and ML systems across cloud, server, and edge environments. He has moved from teaching and research roles into applied engineering, developing ITS, ALPR, facial recognition, and analytics products and now leads ML efforts at Brightskies. Ahmed blends hands-on model research and implementation with instruction experience as a Computer Vision instructor at ITI and as a university teaching assistant, which sharpens his ability to translate complex theory into practical solutions. He trained with AWS on applied ML services, delivering projects from sentiment analysis to object detection and visualization dashboards. Based in 6th of October, Giza, he holds an MS in Microelectronics System Design and a top-ranked BS in EE, reflecting strong signal-processing and hardware-aware ML expertise. Colleagues describe him as a pragmatic engineer-researcher who thrives on shipping robust vision systems that run efficiently on constrained devices.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Microelectronics System Design (MSD), Master of Science - MS, Microelectronics System Design (MSD) at Nile University
Bachelor of Science - BS, Electrical, Electronics and Communications Engineering, Excellent with Honor (88.88%), Bachelor of Science - BS, Electrical, Electronics and Communications Engineering, Excellent with Honor (88.88%) at Institute of Aviation Engineering and Technology