Mark is a co-founder and Chief Architect at Gradient, a full stack AI platform that enables businesses to build customized agents to power enterprise workloads. Known for his pioneering work in LLMs and fine-tuning, Mark is a frequent contributor to the AI and MLOps community. Prior to Gradient, Mark led machine learning teams at Splunk and Box, transitioning over from a nearly decade-long career as an algorithmic trader at quantitative hedge funds like Stevens Capital, Paloma Partners, and TD Securities. Mark holds a dual bachelors degree in mathematics and finance from the University of Pennsylvania.