About

Mohsen Sayyadi is a highly experienced Machine Learning Engineer with over 10 years of relevant experience in the field. Currently working at Snapchat, he is responsible for designing and implementing machine learning models to improve user experience and drive business growth. Prior to Snapchat, Mohsen worked at Walmart as a Data Scientist, where he developed predictive models to optimize supply chain operations and improve customer satisfaction. He also worked as a Graduate Research Assistant at the Information Sciences Institute, where he conducted research on machine learning algorithms and their applications in various domains. Mohsen holds a Doctor of Philosophy (PhD) in Computer Science from Indiana University, where he specialized in machine learning and data mining. He also has a Master's degree in Software Engineering from Sharif University of Technology and a Bachelor's degree in Software Engineering from the same institution. With a strong background in ML, research science, and data science, Mohsen is well-versed in a range of tech stacks and programming languages. He has a proven track record of delivering high-quality solutions to complex problems and is passionate about using technology to drive positive change. Overall, Mohsen is a skilled and dedicated Machine Learning Engineer with a wealth of experience and expertise in the field. He is committed to staying up-to-date with the latest developments in the industry and is always looking for new and innovative ways to apply his skills and knowledge.