Ryan Zotti

Ryan Zotti is a data engineer focusing on putting fast, scalable, open source Big Data applications into production and in the cloud on AWS. He recently co-presented at the Fast Data DC Meet up. Ryan has experience with technologies such as Hadoop, Spark, Storm, Flink, Akka, and Kafka. In his spare time, Ryan likes to work on solving difficult machine learning problems. For example, he is currently building a self-driving remote-controlled car with a Raspberry Pi and Google’s TensorFlow, and he recently co-authored a machine learning research paper with Yale researchers that was published in The Lancet, one world’s oldest and best known medical journals.