Martin Dvorak

Martin Dvorak is a seasoned software engineer with extensive experience in responsible machine learning and software architecture. At H2O.ai since October 2018, Martin leads initiatives focused on fair and explainable machine learning, developing interpretability components for both predictive and generative models. Prior to this role, Martin served as a Software Architect at Hewlett Packard Enterprise from 2007 to August 2017, where responsibilities included technical architecture for service virtualization solutions and cloud service automation. Martin's career began at Systinet, where significant contributions were made as Chief Architect, including the development of SOA governance platforms and web service orchestration. Martin holds a Master of Science degree from Charles University, earned between 1994 and 2000.