Yaniv Benny is an applied researcher and Ph.D. candidate in Computer Science at Tel Aviv University with eight years of experience focused on deep learning and computer vision across academia and industry. He combines summa cum laude degrees and teaching experience in convolutional neural networks with hands-on roles at SightX AI, Microsoft Advanced Technology Labs, and a FAIR internship, translating novel research into applied systems. His background spans formal verification at Mellanox to cutting-edge vision research, giving him a rare blend of rigorous engineering and theoretical depth. Known for bridging research and product needs, he often teaches and mentors while pushing state-of-the-art vision models toward real-world impact.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, (Summa Cum Laude), Master of Science - MS, Computer Science, (Summa Cum Laude) at Tel Aviv University
Bachelor of Science - BS, Electrical and Computer Engineering, (Summa Cum Laude), Bachelor of Science - BS, Electrical and Computer Engineering, (Summa Cum Laude) at Ben-Gurion University of the Negev
Contributions:7 commits, 6 pushes, 1 branch in 10 months
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Yaniv Benny - Applied Researcher at Tel Aviv University