Summary
Gary Innerarity is a Cloud Engineer who turns AI experiments into production-grade systems for federal and enterprise customers, with seven years of hands-on experience in cloud-native orchestration, Digital Twins, and compliance automation. He led the engineering of NASA’s Michoud Assembly Facility Digital Twin and built automated CMMC/FedRAMP compliance pipelines that cut manual audit work from years to minutes. Gary architects Digital Thread platforms and Kubernetes-orchestrated AI workloads across AWS and GCP, routinely consolidating physical infrastructure footprints by up to 10:1. He created MAGIE-CODER, an autonomous AI pair-programmer IDE, and a RESTful Digital Thread that saved his company substantial licensing and development costs. Combining an MBA with technical depth in infrastructure-as-code, reality capture, and simulation, he blends systems thinking with practical automation to make complex, regulated projects operational. Based in Mandeville, LA, he’s currently focused on federal AI modernization, manufacturing Digital Twins, and enterprise AI orchestration, and is open to consulting on those topics.
6 years of coding experience
6 years of employment as a software developer
Bachelor's of Psychology W/ Industrial Organizational focus, Bachelor's of Psychology W/ Industrial Organizational focus at Southeastern Louisiana University
Bachelor of Science (BS), Bachelor of Science (BS) at University of Louisiana at Lafayette
Master of Business Administration (MBA), Master of Business Administration (MBA) at Western Governors University