About

Aditi Jain is a skilled software engineer with a passion for deep learning and using it to solve complex problems. Currently working at Google, Aditi is part of a team that uses deep learning to keep Google Maps up-to-date. With almost five years of experience in the tech industry, Aditi has a strong background in software engineering, research science, and Python. Aditi's previous experience includes working as a research assistant at Carnegie Mellon University, where she collaborated with Professor Russell Golman and one other student to study game dynamics in networks. She set up simulations in Python using NetworkX to observe the convergence of a particular type of game in the field of game theory. Currently, Aditi is working on a paper to summarize the results of this research. She also worked as a software engineering intern at Google, where she worked with the Machine Perception Team in Google Research on smarter video capture/recording. Aditi's educational background includes a Bachelor's degree in Mathematics and Computer Science from Carnegie Mellon University, as well as a Graduate Certificate in Artificial Intelligence from Stanford University. She also took summer classes at Stanford University and received her High School Diploma from Los Altos High School. Aditi's technical skills include software engineering, deep learning, research science, and Python. With almost five years of relevant experience, Aditi is a valuable asset to any team she works with. She is passionate about using technology to solve real-world problems and is always looking for new challenges to tackle.