Tarek Sayed is a Staff Software Engineer and team lead based in Cairo with eight years of experience building production-grade video analytics and computer vision systems at AvidBeam Technologies. He blends a background in electronics and communication engineering with hands-on MLOps and DevOps practice to ship scalable AI/ML pipelines that bridge research and operations. A former major in the Egypt Air Defence Force, he brings disciplined systems thinking and field-proven operational training to complex real-time and radar-like sensing problems. Tarek’s profile highlights an unusual mix of embedded-electronics intuition and cloud-native software architecture, enabling him to optimize both model performance and deployment reliability. He holds a Machine Learning Nanodegree and is pursuing advanced studies in computer communication engineering, demonstrating continuous investment in applied ML and systems engineering.
8 years of coding experience
1 year of employment as a software developer
Bachelor's Electronics & Communication Engineering, Very Good, Bachelor's Electronics & Communication Engineering, Very Good at Alexandria University
Nanodegree, Machine Learning Engineer, Nanodegree, Machine Learning Engineer at Udacity
Pre-Master Diploma, Electronics & Communication Engineering, Unfinished, Pre-Master Diploma, Electronics & Communication Engineering, Unfinished at Helwan University Cairo
Premaster of Science - MSE, Computer Communication Engineering, Premaster of Science - MSE, Computer Communication Engineering at Cairo University
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Tarek Sayed - Staff Software Engineer at AvidBeam Technologies