Shaked Zychlinski is an AI architect and engineering leader with a decade of experience building production-grade recommendation systems and merging generative AI into products. He founded and led Lightricks’ Recommendations AI Research Group, scaling teams and architecting real-time deep-learning inference pipelines that combine computer vision, video analysis, NLP and tabular signals. Author of Manning’s "Real-World Deep-Learning Recommender Systems" course and sole maintainer of the critical Python project Dython, he bridges practical engineering, open-source stewardship and hands-on research. His background in physics (M.Sc., Tel Aviv University) informs a rigorous, data-driven approach to model design and systems thinking. Now at JFrog’s CTO Office, he focuses on integrating generative-AI capabilities into core product flows.
10 years of coding experience
7 years of employment as a software developer
Master of Science (MS) Physics, Master of Science (MS) Physics at Tel Aviv University
Contributions:3 PRs, 208 pushes, 15 branches in 8 months
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Shaked Zychlinski - AI Architect, CTO Office at JFrog