About

Behrouz Saghafi is a principal machine learning engineer with over 10 years of relevant experience in the field. He is currently working at Capital One, where he holds the same position. Prior to joining Capital One, Behrouz worked as a computer vision engineer at Harman and as a data scientist at UT Southwestern Medical Center. He has also worked as a research scientist in the past. Behrouz holds a Bachelor's degree in Electrical Engineering from Nanyang Technological University in Singapore, a Master's degree in Computer Engineering from Boston University, and two Bachelor's degrees in Electrical Engineering and Mathematics from Ferdowsi University of Mashhad in Iran. His technical skills include machine learning, computer vision, data science, and research. Behrouz has a strong track record of leveraging these skills to deliver impactful solutions that drive business outcomes. In his current role at Capital One, Behrouz is responsible for developing and implementing machine learning models that improve the company's credit risk management processes. He works closely with cross-functional teams to ensure that the models are accurate, reliable, and scalable. Overall, Behrouz is a highly skilled machine learning engineer with a passion for solving complex problems using data-driven approaches. He is a valuable asset to any organization looking to leverage the power of machine learning to drive business growth.