About

Aman Kansal is a Computer Science graduate student at Stanford University with a focus on Artificial Intelligence. He has an impressive academic background, having graduated from the Computer Science department of Indian Institute of Technology, Bombay. Aman has worked as a Software Engineer in the Performance and Power Optimization team at Samsung HQ, where he gained valuable experience in the industry. Aman is passionate about exploring the domains of Machine Learning, Artificial Intelligence and Natural Language Processing. He has collaborated with some great researchers for his thesis and an ICASSP paper. In his free time, Aman works on developing his full-stack development skills. He is a firm believer in the potential of computer science and volunteers to teach non-technical students essential computer tools and utilities. Aman has worked as a Software Engineering Intern at Uplara and as a Teaching Assistant at Indian Institute of Technology, Bombay. As a Teaching Assistant, he taught courses such as Abstractions and Paradigms for Programming, Data Analysis and Interpretation, and Organization of Web Information (Web Mining). Aman's tech stack includes Software Engineering, Artificial Intelligence, Natural Language Processing, Mobile, and Machine Learning. He has relevant experience of 2.11 years in the industry. Aman is a highly motivated individual who loves creating cool stuff. He is always happy to collaborate on ideas and projects to the extent his school/employers allow. With his strong academic background and industry experience, Aman is well-positioned to make a significant contribution in the field of Artificial Intelligence.