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Harsh Agarwal

Applied ML Scientist: Ads Bidding And Optimization at Wayfair

Harsh Agarwal is an experienced professional in the field of computer science, holding both a Bachelor's and a Master's degree from the University of Illinois Urbana-Champaign. Harsh has contributed to Wayfair as an Applied ML Scientist focusing on ads bidding and optimization, and as a Machine Learning Engineer specializing in recommendations and personalization. Prior internships include a position as a Software Engineer Intern at Wayfair, where technical skills were applied in transitioning technologies, and roles at John Deere and WorkInSync, where notable achievements included improving search relevance and data migration processes. Additionally, Harsh served as a Course Assistant for CS 425 / ECE 428, demonstrating a strong foundation in distributed systems and related topics.

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