Saurabh Agrawal is a Senior Machine Learning Engineer in Palo Alto with eight years of experience translating academic research into production ML systems across streaming media and e-commerce. He holds a PhD in Computer Science from the University of Minnesota, where his research uncovered novel multivariate spatio-temporal relationships with applications in climate science and neuroscience. At Amazon he advanced applied-science solutions for large-scale recommendation and prediction problems, and he now builds ML-driven personalization and content systems at Tubi. His background spans representation learning, time-series/graph anomaly detection, and cold-start user modeling—skills proven during internships at Criteo, AT&T, and a data-science stint at NASA Ames. Known for bridging deep research rigor with product-focused engineering, he combines domain breadth from civil engineering foundations to cutting-edge ML methods.
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