About

Sameep Bagadia is an accomplished Software Engineer with over 6 years of relevant experience in the field. Currently employed at Google, Sameep has been responsible for developing innovative software solutions that have helped to enhance the company's overall performance. With a strong background in Computer Science and Artificial Intelligence, Sameep has a wealth of knowledge in areas such as Deep Learning, NLP, and test. Before joining Google, Sameep served as a Graduate Teaching Assistant at Stanford University, where he taught courses such as CS224D: Deep Learning for Natural Language Processing, CS246: Mining Massive Data Sets, and CS224W: Social and Information Network Analysis. He also worked as a Graduate Research Assistant under Rok Sosic and Prof. Jure Leskovec, where he analyzed New York taxi data to find interesting events, location, and anomalous travel. Sameep used heuristics and machine learning models to predict events and labeled them using Twitter and Instagram data. Sameep holds a Master of Science (M.S.) degree in Computer Science, Artificial Intelligence from Stanford University, and a Bachelor of Technology (B.Tech.) degree in Computer Science from the Indian Institute of Technology, Bombay. He also completed his high school education from SIES College. Sameep's educational background has provided him with a strong foundation in computer science, which he has effectively utilized in his professional career. Sameep's technical expertise includes software engineering, deep learning, NLP, and testing. His exceptional skills in these areas have helped him to develop and deploy high-quality software solutions that have been instrumental in enhancing the overall performance of the organizations he has worked with. Overall, Sameep is a highly skilled Software Engineer with a passion for developing innovative software solutions. His strong educational background, technical expertise, and relevant experience make him an asset to any organization.