Sada is an AI leader focused on building foundational frameworks that enable large-scale, mission-critical operations across the enterprise. He leads key initiatives in knowledge management, ontology and semantic data enablement, and AI/ML-driven predictive analytics at Lockheed Martin Enterprise Operations. His work emphasizes establishing scalable knowledge foundations that transform fragmented data into connected, actionable intelligence, enabling advanced decision-making and supporting next-generation mission capabilities. He is also focused on identifying and advancing practical pathways to accelerate the responsible adoption of AI at scale across complex organizations. With over three decades of experience in the aerospace and defense industry, Sada has led initiatives spanning artificial intelligence and machine learning, model-based engineering, systems architecture, affordability management, engineering economics, and predictive analytics. His focus has consistently been on developing foundational capabilities that enable complex systems to scale, integrate, and operate effectively across mission environments.

Sada has authored and co-authored more than 40 conference papers and journal publications in areas related to artificial intelligence, analytics, and advanced engineering applications.

Sada holds a dual Ph.D. in Mathematics and Computer Science from the University of Denver, a Master’s degree in Computer Science from New York Tech, and a Bachelor’s degree in Electrical Engineering from Visvesvaraya College of Engineering, India.