About

Roban Kramer is a highly skilled Machine Learning Engineer with over 13 years of experience in the field. Currently, he is responsible for Machine Learning at Stripe, where he works on the Payment Intelligence Optimization team. His primary focus is on maximizing payment authorization rates and cost-effectiveness through the use of machine learning, inference, and prediction techniques. Roban has had an illustrious career at Stripe, having previously served as an Engineering Manager for their Merchant Forecasting team. In this role, he managed a team that utilized both machine learning and probabilistic programming/Bayesian modeling techniques to understand and predict merchant activity. Prior to this, he also worked as a Machine Learning Engineer at Stripe. Roban's educational background is in Astronomy, having earned his PhD from Columbia University in 2009. He also holds a Bachelor's degree in Astrophysics from Swarthmore College, which he earned in 2003. In addition to his academic achievements, Roban is highly skilled in a range of technologies, including ML and Senior Software Engineering. With his extensive experience and expertise, he has become a highly sought-after professional in the field of Machine Learning.