LLM in Production Round Table

Diego Oppenheimer is a serial entrepreneur, product developer and investor with an extensive background in all things data. Currently, he is a Partner at Factory a venture fund specialized in AI investments as well as a co-founder at Guardrails AI. Previously he was an executive vice president at DataRobot, Founder and CEO at Algorithmia (acquired by DataRobot) and shipped some of Microsoft’s most used data analysis products including Excel, PowerBI and SQL Server.

Diego is active in AI/ML communities as a founding member and strategic advisor for the AI Infrastructure Alliance and MLops.Community and works with leaders to define AI industry standards and best practices. Diego holds a Bachelor's degree in Information Systems and a Masters degree in Business Intelligence and Data Analytics from Carnegie Mellon University.

David Hershey devoted most of his career to machine learning infrastructure and trying to abstract away the hairy systems complexity that gets in the way of people building amazing ML applications.

As the principal machine learning engineer at Digits since 2020, Hannes Hapke is fully immersed in day-to-day, evolving innovative ways to use machine learning to boost productivity for accountants and business owners. Prior to joining Digits, Hannes solved machine learning infrastructure problems in various industries including healthcare, retail, recruiting, and renewable energies.

Hannes is an active contributor to TensorFlow’s TFX Addons project and has co-authored multiple machine learning publications including the book "Building Machine Learning Pipelines" by O’Reilly Media. He has also presented state-of-the-art ML work at conferences like ODSC, or O’Reilly’s TensorFlow World.

James is CEO and Co-Founder of Bountyful - an early-stage startup, backed by Entrepreneur First at pre-seed, building observability and testing tools fit for generative AI use cases. Prior to Bountyful he helped grow and raise funding for ventures in operating teams and at world-class accelerators like Techstars.

Rebecca is a Research Engineer at Facebook AI Research, where her research interests focus on the robustness and fairness of large language models. Previously, she worked on robotics and semantic parsing, and developed a novel pattern mining algorithm that processed hundreds of millions of infrastructure logs. She studied CS at the University of Chicago.