Backend and MLOps engineering in support of a health data science platform. Worked with technical leadership to improve and refine system architectures and deliver working software.

Contributed to a variety of different R&D programs, applying expertise in both full-stack development and machine learning engineering and research. Improved transformer-based cross-genre model for authorship attribution. Created human-interpretable explanations of model behavior and ran pilot study to assess their usefulness.

Researched method for explainable reinforcement learning using General Value Functions to understand and predict future agent behavior.