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Harsh Agarwal

Applied ML Scientist: Ads Bidding and optimization

Harsh Agarwal is an experienced professional in machine learning and software engineering, currently serving as an Applied ML Scientist at Wayfair, focusing on ads bidding and ranking, and previously as a Machine Learning Engineer on the recommendations team. Harsh has a robust background in system design and deployment using technologies such as PyTorch, TensorFlow, Java, and Kubernetes. Additional experience includes roles as a Course Assistant at the University of Illinois Urbana-Champaign, where substantial knowledge in distributed systems was demonstrated, and various internships at companies like John Deere, WorkInSync, and Wayfair, where contributions to projects included semantic search and microservice architecture. Harsh holds both a Bachelor's and a Master's degree in Computer Science from the University of Illinois Urbana-Champaign and co-founded Give Back To Earth, an environmental initiative recognized by the Government of India.

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