Machine Learning and Artificial Intelligence Engineer with Full Stack experience. Presented original research on subvocal recognition using multilayer perceptrons at ICTAI 2017 in November. Experienced with bespoke machine learning solutions in several contexts (NLP, sequence to sequence, vision, stochastic regression, etc.) and algorithmic optimization for cost effective pipeline scaling. Machine Learning and AI experience began with Udacity`s MLND (2016) and AIND (2017), and continues with ongoing projects at Syntasa as well as independent ventures. See my GitHub for examples. ©