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Daniel Yellin has extensive experience in ML, AI, and Big Data. Daniel has held various leadership positions in prestigious companies such as Scalez, Cellwize, Tensera Networks, Marvell, and Intel Corporation. In their role as Chief ML/AI data scientist at Scalez, they were responsible for developing NLP/NLU using BERT, reinforcement learning for multi-arm bandit problems, and proprietary clustering algorithms. At Cellwize, as the Advanced Algorithm Group Lead, they developed classification and regression algorithms for cellular network optimization, including a geo impact predictor using neural networks. Prior to that, they served as CTO at Tensera Networks, where they were instrumental in driving technological advancements. Daniel also worked as a Manager at Marvell, leading a team of statistical signal processing experts, and as a Senior Director of Technology at Marvell Semiconductor. In their earlier career, they held the positions of Chief Scientist at Intel Corporation and Chief Technologist at Intel Corporation's Analog & RF organization.

Daniel Yellin holds a Ph.D. degree in Electrical and Electronics Engineering from Tel Aviv University. Prior to that, they completed an Ms.C. degree in the same field at Technion - Israel Institute of Technology. Daniel also holds a Bs.C. degree in Electrical and Electronics Engineering from Technion - Israel Institute of Technology. No specific start or end years were provided for these educational experiences.