About

Sharut Gupta is an ambitious and highly motivated individual with a passion for mathematics and computing. He is currently an undergraduate student researcher at Harvard University, where he is conducting cutting-edge research in the field of vehicular networks and accident prediction using machine learning. Sharut has a strong academic background, having completed a Bachelor of Technology in Mathematics and Computing from the prestigious Indian Institute of Technology, Delhi. Sharut has gained valuable experience through his internships at Nokia and INRIA. At Nokia, he worked on developing a Q&A system for handling consumer problems, which involved building a tool to capture conversations between engineers and clients and converting the context of the conversation into a question and answer repository. At INRIA, Sharut worked as a research fellow on a project aimed at promoting traffic safety through the use of vehicular ad-hoc networks. He was involved in developing traffic flow prediction models using deep learning and probabilistic graphical models for accident prediction using statistical machine learning. Sharut's technical skills are impressive, and he is proficient in a range of technologies, including research science, machine learning, mobile development, reinforcement learning, deep learning, and infrastructure. He is a quick learner and has a natural ability to solve complex problems, making him an asset to any team. With almost two years of relevant experience under his belt, Sharut is poised to make a significant impact in the field of mathematics and computing. He is a driven and ambitious individual who is always looking for new challenges and opportunities to learn and grow. Sharut's passion for his work, combined with his technical skills and academic achievements, make him an excellent candidate for any role in the field of mathematics and computing.