Scaling responsible AI adoption at enterprise scale

I'm Nathan Frank, an engineering and AI/ML leader who builds platforms that teams actually use. At Grainger, I lead Machine Learning Platform & Operations, bringing Databricks, Kubernetes, production-grade model serving, vector search, and multi-provider LLM access together so product, machine learning, data science, and analytics teams can ship faster.

My approach is pragmatic and people-first: translate between data scientists, engineers, security, and business stakeholders; break down complex topics; and coach teams toward best practices.