Alex Libov is an Applied Science Manager at Amazon leading a team in Shopping Personalization, with a decade of experience building recommendation and relevance systems for voice and e-commerce. He holds a Ph.D. in Distributed Systems from the Technion and started his career researching mail search and kNN search frameworks at Yahoo Research. Alex blends deep academic rigor with product-focused ML engineering—having contributed to early Alexa Shopping relevance models and implemented CPU/GPU kNN solutions and PQ approximations. He also teaches object-oriented programming at the Technion, earning teaching excellence awards, which underscores his ability to mentor researchers and engineers alike. Comfortable switching between low-level systems work (C++/Perl/XML during early CAD tooling) and applied ML research, he excels at turning complex distributed algorithms into production-grade personalization features.
10 years of coding experience
9 years of employment as a software developer
Ph.D. Distributed Systems, Ph.D. Distributed Systems at Technion - Israel Institute of Technology
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