Zohar Yahav is a Senior Research Engineer with a decade of experience building production-grade ML infrastructure and data processing systems at Google and Google DeepMind. He has led core work on TensorFlow Transform, Struct2Tensor and TFX, specializing in offline ML data pipelines and feature engineering for large-scale models. Prior to DeepMind he developed DPI-based classification engines at Cisco, giving him a practical systems background that complements his ML tooling expertise. Based in London, he bridges research and engineering—moving experimental model workflows into reliable, scalable pipelines. Colleagues know him for pragmatic design choices that simplify complex data transformations while keeping performance and correctness front and center.
10 years of coding experience
11 years of employment as a software developer
B.Sc Computer Science, B.Sc Computer Science at Ben-Gurion University of the Negev
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Zohar Yahav - Senior Research Engineer at Google DeepMind