Michael Polyakov

Michael Polyakov, PhD, specializes in designing, scaling, and optimizing machine learning models for novel use cases. They have extensive experience in machine learning and software engineering, particularly in deep learning and computer vision. Previously, Michael served as a Data Science Lead at Crowdpac, where they recruited and managed a data science team, and as a Research Director at California Common Sense, overseeing research projects and media representation. Currently, they are a Senior Machine Learning Engineer II at Olo, where they develop innovative machine learning solutions. Michael's academic background includes a PhD in Political Science from the University of California, Berkeley, and a strong foundation in computer science from Cornell University.