Connor is a Data Engineer at UNCOMN, building auditable AI-powered pipelines and mission planning tools for defense applications. He previously built ETL infrastructure for the US Space Force’s Space Launch Delta 45 and researched offline reinforcement learning and multimodal ML at Purdue. His work focuses on keeping AI systems traceable and explainable so humans stay in control of final decisions.