Daniel is a machine learning engineer with a Ph.D. in Electrical and Computer Engineering from Duke University. Through his research he gained extensive experience in designing and implementing computer vision solutions to real-world applications and has authored numerous peer-reviewed publications. He has also been involved in several consulting projects related to document analysis and financial projections.