Teams at Carnegie Mellon University

Design and pilot AI-native, architecture-scale solutions and agentic workflows to modernize and rearchitect systems. Assess customer systems, recommend technical strategies, prototype architectures, coach engineering teams, and share practices via publications and presentations.

Coordinate academic program operations for the School of Public Policy: support leadership projects, plan events, supervise student workers, manage capstone processes, handle financial and administrative tasks, and serve as primary school contact.

Lead research applying AI to large-scale software engineering: assess AI model capabilities, design agentic workflows, establish metrics and practices, pilot improvements with government and industry, measure outcomes, and disseminate results. Mentor junior staff, write proposals, and help organizations adopt AI-native engineering without sacrificing software quality.