About

Arnab Borah is an Applied Research Engineer 3 in Advertising with over 4.5 years of experience in Machine Learning for Search and Advertising. He is currently working in the Search Science Advertising team at eBay, where he and his team of applied research scientists and engineers work on search ranking, personalization, and advertising algorithms to provide eBay buyers and sellers with a great search experience and bring great returns for eBay. Arnab specializes in building scalable ML pipelines for monetization of large online businesses. His current focus is on developing real-time Advertising systems that directly impact user experience and revenue. Arnab earned his Master of Science in Computer Science from the University of California Santa Cruz, where he gained experience in solving business problems using Machine Learning, NLP, and Data Mining. He has also worked at Verisign Labs and Capsilon (Ellie Mae) as an intern, both in R&D positions, developing feasible solutions to optimize business metrics at both. Currently, Arnab is a Member of the Board of Advisors for eBay Recent College Graduates in Tech. He is responsible for planning training programs, giving talks, participating in panel discussions, and helping Recent College Graduates and Summer Interns transition into the working culture. He also evaluates final year student CS projects from local universities. Arnab's past experience includes working as an Applied Research Engineer 3 at eBay, where he was responsible for leading the engineering pipeline for product demand services used in Advertising and Search. He also built neural net-based feature pipelines for Ads modeling. He also worked as a Graduate Research Intern at Verisign, where he conducted research and feasibility analysis and planned for the development of an NLP/ML product. Arnab's tech stack includes Research Scientist, Search, ML, NLP, XGBoost, Senior Software Engineer, Scala, and Hadoop. He has relevant experience of 7.87 years.