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Yuval Belfer is a Senior Developer Advocate at AI21 Labs, specializing in Large Language Models, RAG systems, and AI agents. He works at the intersection of research and real-world GenAI deployment, helping teams design, evaluate, and scale production-ready AI systems.

Yuval holds an MSc in Computer Science from the Weizmann Institute of Science, where he conducted research on neural network theory and training dynamics. In addition to his industry role, he teaches advanced courses on Generative AI and LLM development at Reichman University, Google & Reichman Tech School, and Nebius Academy. His expertise spans model behavior, evaluation frameworks, agent orchestration, and system architecture, bridging deep technical understanding with practical implementation.