About

Harsh Shrivastava is a highly accomplished Senior Applied Scientist at Microsoft with a PhD in Machine Learning from Georgia Tech. He has a strong background in developing novel deep learning architectures using inductive bias and prior knowledge about the problem at hand. Harsh's expertise in these techniques makes him a valuable asset in a variety of domains, including computational biology, natural language processing, computer vision, and finance. Harsh has a wealth of experience in the tech industry, having worked with some of the biggest names in the business. He completed a PhD research internship with Google Research/Google Brain, where he worked on Google Translate and randomized neural networks. Additionally, he worked as an AI Resident at X, the Moonshot Factory, where he contributed to a secret project in the Google X labs. Harsh's education history is equally impressive, with a Doctor of Philosophy (Ph.D.) in Computer Science from Georgia Institute of Technology and a Bachelor of Technology (B.Tech.) and Master of Technology (M.Tech.) in Electronics and Electrical Communications Engineering from Indian Institute of Technology, Kharagpur. Harsh's technical skills are extensive and include research scientist, computer vision, deep learning, natural language processing, machine learning, neural networks, and AI. With 3.87 years of relevant experience, Harsh is a highly sought-after professional in the tech industry. He is a visionary who is constantly pushing the boundaries of what is possible in the field of machine learning and artificial intelligence.