Local and Private AI Infrastructure
Architecture and implementation approaches for local LLM deployment, privacy controls, and inference methods suitable for sensitive environments.
Selected technical work and public demonstrations
Architecture and implementation approaches for local LLM deployment, privacy controls, and inference methods suitable for sensitive environments.
Technical approaches to integrating AI capabilities into existing organizational systems, with emphasis on measurable outcomes and practical constraints.
Design, evaluation methodology, reliability, and security considerations for autonomous AI agent architectures.
Case studies will be expanded with publicly available technical details and demonstrations.