Summary
Ryan Gulden is a Principal AI & ML Engineer with nine years of experience building scalable MLOps and data platform solutions for large financial and insurance enterprises. He progressed from platform engineering roles at Discover to senior and principal AI/ML positions at CNA Insurance, where he focuses on reliable, production-ready ML infrastructure for data scientists and application teams. Ryan combines critical thinking with collaborative leadership to solve complex systems problems and continuously sharpens his skills by experimenting with new technologies in his home network. Based in Romeoville, IL and grounded in a Computer Science degree from Illinois State University, he brings practical, hands-on expertise in platform automation, model deployment, and observability. Outside of work he analyzes stocks and plays and watches sports, a pastime that informs his data-driven approach to problems. Colleagues describe him as a pragmatic engineer who turns research and prototypes into dependable, maintainable platforms.
9 years of coding experience
6 years of employment as a software developer
High School, High School at Joliet Catholic Academy
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Illinois State University