About

Tathagat Verma is a highly motivated and accomplished individual with a passion for startups and leveraging AI to solve real-world problems. He is currently pursuing a Master of Science in Computer Science at Stanford University, specializing in Artificial Intelligence. Tathagat completed his Bachelor of Technology in Computer Science and Engineering at the prestigious Indian Institute of Technology, Bombay. Tathagat has a strong background in AI, with publications and projects in domains like deep generative models, medical image processing, and NLP. He is currently working as a Graduate Research Assistant at the Stanford Intelligent Systems Laboratory (SISL), collaborating with the Honda Research Institute (HRI). In this role, he is developing a deep learning model with graph neural networks and language models for the joint task of object importance classification and natural language explanation generation in autonomous driving. Apart from his academic and professional pursuits, Tathagat is highly active in sports and enjoys playing tennis and aquatics. He is also an avid reader and loves to read books in his free time. Tathagat has gained valuable experience in the startup ecosystem as a Student Venture Partner at Venture Highway, where he was introduced to sourcing and evaluating seed-stage startups and portfolio management. He has also worked as a Machine Learning Engineer at Chingari, where he developed video classification models in PyTorch with OpenMMLab's MMAction2 toolbox. Tathagat's technical skills include research scientist, AI, language models, image processing, deep learning, NLP, neural networks, ML, video classification, Web3, and decentralized technologies. With 0.52 years of relevant experience, Tathagat is open to collaborating on great opportunities.