About

Sukrit Shashi Shankar is a highly accomplished machine learning researcher, advisor, and consultant with over 14 years of relevant experience in the field. He holds a Doctor of Philosophy (PhD) degree in Machine Intelligence Lab, Division of Information Processing from the University of Cambridge, and a Master of Science (MS) degree in Communications and Signal Processing, Electrical and Electronic Engineering from Imperial College London. Sukrit has an impressive work history, having worked with renowned companies such as Microsoft, Google, and NXP. He has served as a Research Intern at Microsoft, where he conducted deep learning-related research. During his time at the University of Cambridge, he collaborated with Google on automatic time synchronization of user-generated sports videos as a Research Scholar at Chrome Media University Research. Currently, Sukrit is a Machine Learning Researcher, Advisor, and Consultant at [metail | flox] & shapes ai, seequestor, xpci, eyeem, robikai, pupil, winnow solutions. He is responsible for conducting research and providing expert advice on machine learning and deep learning projects. Sukrit has a strong technical background and is proficient in various technologies such as ML, Research Scientist, and Deep Learning. He is passionate about his work and is dedicated to staying up-to-date with the latest trends and advancements in the field. Overall, Sukrit is a highly skilled and experienced researcher who has made significant contributions to the field of machine learning. His expertise and knowledge make him a valuable asset to any organization looking to leverage the power of machine learning and deep learning technologies.