About

Deepthi Nandakumar is a highly skilled Principal Research Scientist at Amazon Go with technical expertise in cutting-edge video algorithms. With over 14 years of relevant experience, she has developed and managed beginner-level teams from the ground up, delivering high-quality solutions to worldwide customers on schedule. Currently, Deepthi is focused on the development of the open-source HEVC video encoder x265 at Amazon Go. She manages and leads the development of the video encoder, provides hands-on technical guidance, code review, and software design for all encoder modules, and works with all customers to solve issues and define the best solution for their use-case. Deepthi also works with product management to define short-term and long-term priorities for x265 development. Prior to joining Amazon, Deepthi worked at Multicoreware as an Engineering Manager, where she was responsible for the development of the world's most widely used open-source HEVC video encoder x265, which is integrated into ffmpeg. She managed and led the development of the video encoder, provided hands-on technical guidance, code review, and software design for all encoder modules, and worked with all customers to solve issues and define the best solution for their use-case. Deepthi also worked with product management to define short-term and long-term priorities for x265 development. Deepthi's education background includes a B.Tech in Electronics and Communication Engineering from NIT Calicut and a Master of Science (M.S.) in Parallel Computing from the University of Illinois. Her tech stack includes Research Scientist, product manager, and Senior Software Engineer. Overall, Deepthi Nandakumar is a highly skilled and experienced Principal Research Scientist with a proven track record of delivering high-quality solutions to worldwide customers. She is a valuable asset to any team and is committed to driving innovation in the field of video algorithms.