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Lead perception technical efforts for UAS programs: design target detection/tracking and nonlinear state estimators, architect multi-sensor world modeling, integrate ROS2/DDS interfaces, optimize real-time C++ embedded deployments, and mentor engineers while contributing reusable platform components.

Build and productionize LLM-powered tools, RAG systems, and agentic workflows. Deploy and operate AI infrastructure on Kubernetes, manage model serving and vector stores, integrate identity and access controls, automate CI/CD and data pipelines, and establish evaluation and observability for deployed services in a defense-oriented environment.

Develop high-fidelity RGB and LWIR camera models and synthetic-data pipelines in Unreal Engine, stream sensor outputs to ROS 2, implement noise/artifacts and target injection, manage 3D asset pipelines, and optimize headless/real-time simulation for perception and Target State Estimation testing and CI/CD integration.