About

Harsh Gupta is an Applied Scientist II at Amazon with a strong background in Electrical and Computer Engineering. He has a PhD in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign, where his research focused on Reinforcement Learning, Bandits, Optimization, and Wireless Networks. Harsh has over three years of relevant experience in the field of research and development. He started his career as a Research Assistant at the University of Illinois, where he worked on various projects related to his areas of interest. Later, he joined Amazon as an Applied Scientist, where he worked on an instance of the extreme classification (XMC) problem to improve search results on Amazon's e-commerce website. Harsh's educational background includes a Bachelor of Technology in Electrical, Electronics, and Communications Engineering from the Indian Institute of Technology, Kanpur, and a Master of Science in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign. He also has a High School degree from Delhi Public School. Harsh's tech stack includes skills such as Research Scientist, Search, Reinforcement Learning, and Neural Networks. He is a highly motivated individual with a passion for solving complex problems and developing innovative solutions. His strong analytical and problem-solving skills, combined with his technical expertise, make him an asset to any team.