About

Sohang Gandhi is an experienced Machine Learning Engineer currently working at Facebook. With over 10 years of relevant experience, Sohang has been instrumental in maintaining the coherence, coverage, and cleanliness of the Facebook places graph through the application of data mining and machine learning techniques. His work involves linking user content to physical entities to enhance social connections with content. Sohang's expertise lies in deduplication, junk detection, and permanently closed detection for places. Prior to joining Facebook, Sohang worked at Bloomberg LP as a Trading Systems developer. He was responsible for the development of a new multi-bank trading platform for currency options. Sohang also has a background in theoretical physics and conducted research as a PhD student at Cornell University. Sohang's educational background includes a Ph.D. in Theoretical Physics from Cornell University, where he conducted research in the field of computational physics. He also holds a B.Sc. in Computational Physics from the University of Central Florida. Sohang's tech stack includes expertise in Machine Learning and Research Scientist. He has a strong understanding of various machine learning algorithms and techniques. Sohang is a highly motivated individual with excellent problem-solving skills. He is passionate about leveraging his skills to make a positive impact on society.