Discover the key principles and methodologies in designing and implementing intelligent agents with our distinguished panel.
The panelists will share their experiences in developing various types of agents and discuss the challenges and solutions to building robust, production-ready agentic systems.
Mark Huang is co-founder and Chief Architect at Gradient. Gradient helps enterprises automate business processes using agents. Their platform flexibly handles and incorporates private data to seamlessly deliver full AI automation.
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.