Roman Enzmann

Roman Enzmann is a solutions architect with a focus on GPU-accelerated data science pipelines and RAPIDS. Prior to joining NVIDIA, he worked at Deloitte, where he was responsible for building automated solutions for different stages of the credit risk modeling pipeline. Collaborating with NVIDIA during this time, he developed a solution that leverages RAPIDS to provide GPU-accelerated auxiliary explanations to the inner workings of machine learning models. At university, he studied economics and then undertook a master’s degree specializing in machine learning and econometrics.
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Posts by Roman Enzmann

Generative AI

Transforming Financial Analysis with NVIDIA NIM

In financial services, portfolio managers and research analysts diligently sift through vast amounts of data to gain a competitive edge in investments. Making... 13 MIN READ