Nicholas leads machine learning and data science at Sigma. He is an accomplished machine learning engineer with experience in both computer vision and natural language processing. He performed research in deontic and doxastic logics as well as machine learning applications towards automated theorem proving at the Rensselaer AI and Reasoning (RAIR) Lab on behalf of Rensselaer Polytechnic Institute and IBM.

Prior to joining Sigma, Nick began worked as Senior Machine Learning Engineer for KeyMe Inc., applying state-of-the-art machine/deep learning models towards computer vision goals like semantic segmentation, object detection, and image classification.