Leads Software Quality/Compliance and Application and Infrastructure Support teams serving nuclear engineering teams and external software customers. Manages complex technical issues, engineering software acquisition and support, resource planning, quality delivery, and operational strategy. Partners with engineering, product management, and project delivery teams to deliver applications on schedule and budget. Oversees technical projects, recommends process improvements, manages professionals, and provides leadership across software quality, application configuration, and infrastructure support functions.

Leads the architecture, development, deployment, and optimization of machine learning and generative AI solutions for grid automation. Establishes AI/ML standards, builds cloud and edge-based platforms, develops MLOps and CI/CD practices, and delivers proof-of-concepts. Collaborates with product, R&D, and cross-functional teams to integrate intelligent capabilities into energy systems. Requires expertise in machine learning frameworks, cloud platforms, industrial IoT, power-system simulation, real-time data, and full AI/ML lifecycle delivery.