Krag Browder

Krag held the position of Lead Data Scientist at GM Financial. In that position, he specialized in deep learning-based language models and performed a critical role in the introduction of machine learning and big-data technology to GM Financial for the purpose of loan scoring for credit risk.

Before his time at GM Financial, Krag completed Lockheed Martin’s Engineering Leadership Development Program and was a Senior Embedded Software Engineer. At Lockheed Martin, he and his team designed a method to automate troubleshooting the optical fiber network on the F-35 utilizing artificial neural networks. In addition, Krag designed an aircraft fleet similarity analysis for the Integrated Fighter Group across multiple levels of precision using unsupervised machine learning.