Daniel has over 20 years experience designing and implementing state-of-the-art solutions using ML, Computer Vision and Natural Language Processing. Daniel specializes in designing solutions for drawing rich insights out of unstructured data. Daniel is the former CTO for a technology consulting firm, and product lead for a computer vision SaaS startup. Daniel holds a BA in Mathematics from University of Florida and a Masters of Computer Science from Cornell University.