Summary
Yuval Bahat is an AI research scientist with nine years of experience specializing in computer vision, image and signal processing, and machine learning, currently working at Google while holding a concurrent postdoctoral position at Princeton. His trajectory combines deep academic rigor—a PhD from the Weizmann Institute and advanced degrees from Technion—with industry experience at Intel, Microsoft, Mellanox and hands-on development of gesture recognition and advanced analytics systems. He has a strong track record supervising and mentoring students in practical vision projects and transitioning research ideas into applied systems. Notably, his work bridges theoretical research and product-facing implementations, making him adept at turning complex imaging algorithms into deployable solutions. Based in Tel Aviv, he brings an interdisciplinary engineering background and an uncommon span of roles across research labs and major tech companies.
9 years of coding experience
4 years of employment as a software developer
Master of Science (M.Sc.) Electrical and Electronics Engineering, Master of Science (M.Sc.) Electrical and Electronics Engineering at Technion - Israel Institute of Technology
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Weizmann Institute of Science
English, Spanish, Hebrew