Contributor to Intel's Open Source Explainable AI Project
Developed machine learning models, notebooks and solutions in the computer vision, and natural language domains across a variety of frameworks and datasets
Researched, implemented, and presented state of the art methodologies for explainable artificial intelligence (XAI)
Developed XAI solutions for computer vision, natural language and statistical machine learning models
Developed tools to provide methods that explain datasets and models; focused on explaining bias and overall model performance in black box machine learning models