About

Arpit Bansal is a highly motivated and enthusiastic doctoral student at the University of Maryland, College Park. With a passion for empirical and theoretical machine learning, he is eager to contribute to the rapidly growing field of artificial intelligence. Arpit firmly believes that the 21st century will be dominated by AI, and he is excited to be part of this revolution. Arpit has a diverse background in software engineering, research, and development. He has worked as a software engineer at Visa, where he developed an NLP engine that enables users to query information from a transaction database in simple English, without requiring knowledge of column names or locations. Arpit also developed a recommendation system that suggests other columns to investigate based on users' NLP queries. He has been awarded a Trade Secret by Visa for his contributions to research in recommendation systems. Additionally, Arpit created a merchant rating system that provides accurate ratings of different merchants based on transaction data, earning him another Trade Secret for his algorithm development. In addition to his industry experience, Arpit has a strong academic background. He completed both his bachelor's and master's degrees in electrical engineering from the Indian Institute of Technology, Kharagpur. Arpit's research interests include recommendation systems, research scientist, ML, NLP, AI, software engineering, and information retrieval. Overall, Arpit is a highly capable and driven individual with relevant experience of 3.78 years. He is eager to work on projects that combine his interests in empirical and theoretical machine learning, and he is excited to contribute to the development of artificial intelligence.