Summary
Brandon Bodnar is a Principal Engineer with eight years of hands-on experience building AI/ML and cloud-native systems that progressed from whiteboard prototypes to production platforms used daily across federal and enterprise environments. He has led development of mission-focused generative AI tooling at DHS—co-building DHSChat and agentic Text-to-SQL and RAG-based systems—while also scaling ML platforms at John Deere for petabyte-scale training, feature stores, and low-latency model serving. Comfortable both shaping technical strategy and shipping code, he blends full-stack programming (Python, TypeScript, Go, Java) with DevSecOps, observability, and multi-cloud Kubernetes operations. His background spans national security, public sector modernization, and regulated commercial systems, and he mentors teams to raise engineering quality without slowing delivery. An active contributor to open-source tooling, he improved security and TLS handling in gh-ost, a widely used MySQL online schema migration tool. Brandon’s unusual pairing of a J.D. and technical degrees with prior military linguist experience informs his disciplined approach to secure, policy-aware engineering.
8 years of coding experience
8 years of employment as a software developer
J.D. concentration in Public Law, J.D. concentration in Public Law at Cornell Law School
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Iowa State University
Associate of Arts (A.A.) Arabic, Associate of Arts (A.A.) Arabic at Defense Language Institute Foreign Language Center
English, Arabic