About

Sheel Shah is a final year student pursuing a Bachelor's degree in Electrical Engineering from IIT Bombay. With a diverse range of interests, Sheel has gained proficiency in web development by building several projects in various frameworks. Additionally, he has a keen interest in Reinforcement Learning and has worked on multiple projects in this domain. Sheel has also gained experience as a Research and Development Intern at Indiana University Bloomington, where he contributed to various research projects. He has also worked as a Web Developer at Fraazo, where he honed his skills in web development. Currently, Sheel is working as a Quantitative Trader at Quadeye, where he is responsible for developing and implementing quantitative trading strategies. He has a strong understanding of financial markets and uses his technical expertise to create profitable trading strategies. Apart from his professional pursuits, Sheel is an avid learner and has a passion for playing the drums. He is also enthusiastic about fitness and running. With a tech stack that includes Reinforcement Learning, Web Development, and Research, Sheel has relevant experience of 0.37 years. He is a driven individual with a strong work ethic and a passion for learning.