In addition, Ryan has recently shifted his long term focus into the direction of machine learning and artificial intelligence. There will be a significant disruption in the coming years with regards to how client side software algorithms are modeled and implemented. He has taken the Andrew NG – Machine Learning course provided by Stanford University. In addition, he is currently finishing a specialization in deep learning with TensorFlow which focuses on computer vision, natural language processing, and sequencing within neural networks.
Ryan previously worked at Digitas and Universal Mind where he served as the architect for clients including American Express, P&G, Aflac, Gordon Food Service, FICO, and HP.