Muzakkiruddin Ahmed Mohammed is a Ph.D. candidate in Computer and Information Science and Lead AI Developer and AI Researcher at the Center for Entity Resolution and Information Quality (ERIQ), University of Arkansas at Little Rock. He specializes in multi-LLM ensemble and multi-agent frameworks for entity resolution, master data management, industrial data extraction, and enterprise data governance. He has led AI development for DART-funded projects such as the Data Washing Machine (DWM) and contributed to US Census-funded initiatives on name and address parsing and household movement discovery. In collaboration with the Pilog Group, he developed production-ready systems for part specification extraction, record linkage, and Cluster metrics , achieving notable improvements in accuracy, efficiency, and decision traceability. His work has been presented at IEEE and other international conferences, featured as a cover article in a peer-reviewed journals. A recipient of the Outstanding Master’s Research Award, he also teaches and conducts workshops on Generative AI, Retrieval-Augmented Generation, and Knowledge-Augmented Generation, and holds certifications as an IBM Data Science Professional and Microsoft DP-203 Data Engineer.