Thomas Loeber
Thomas is a senior machine learning engineer at GoHealth, where he builds and productionizes GenAI models. Previously, he worked in consulting and at a technology startup, focusing on MLOps adoption. He originally came from the statistics and data science side, but has also worked in software and data engineering, searching for lessons from these more mature disciplines for how to create maintainable and scalable software systems. Now, Thomas is passionate about integrating these diverse insights to build robust ML systems.
Sessions
During this expert panel, we'll explore the critical intersections of data science, engineering, and stakeholder engagement in today's organizations. This discussion will address how to break down silos between technical disciplines, establish effective collaboration models, create rapid experimentation frameworks, and successfully transition projects from exploration to production. Our panelists bring diverse perspectives on building integrated teams that balance innovation with enterprise standards while delivering real value.