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Advancing Generative AI Research, Federal AI Architecture, and Applied Machine Learning

Official academic and professional profile of Dr. Alan F. Castillo, Generative AI Data Scientist, Federal AI Architect, and founder of Cloud Computing Technologies. This site serves as the central hub for research, publications, federal technology leadership, and applied artificial intelligence initiatives.

Dr. Alan F. Castillo – Generative AI Data Scientist

Federal AI Architecture

Designing secure, mission-ready artificial intelligence and cloud architectures aligned with Federal, DoD, and Intelligence Community requirements.

Generative AI & Machine Learning

Developing and deploying advanced generative AI, large language models, and machine learning systems to support mission-critical Federal and national security applications.

AI Governance & Security

Implementing secure, compliant, and responsible AI frameworks aligned with Federal security standards including NIST, RMF, FedRAMP, and Zero Trust architectures.

Research & Publications

Publishing peer-reviewed research, technical papers, and applied AI innovations supporting Federal missions and advancing generative artificial intelligence.

Dr. Alan F. Castillo speaking on artificial intelligence and federal cloud architecture at Phoenix Civic Plaza

Generative AI Researcher and Federal AI Architect

Doctor of Management (DM/IST) · AWS Certified Machine Learning Engineer – Associate · Federal AI Architect · Generative AI Researcher · Founder, Cloud Computing Technologies

Dr. Alan F. Castillo is a Generative AI Data Scientist, Federal AI Architect, and academic researcher specializing in artificial intelligence, cloud computing, and mission-critical federal systems. He is the Founder and Principal of Cloud Computing Technologies and leads advanced AI initiatives supporting Federal, Department of Defense (DoD), and Intelligence Community missions.

His work focuses on designing secure, scalable generative AI and machine learning architectures aligned with Federal security and compliance frameworks, including NIST, Risk Management Framework (RMF), FedRAMP, and Zero Trust architecture. His research and professional contributions span generative AI, federal AI architecture, AI governance, and applied data science, advancing the secure and responsible deployment of artificial intelligence across national security and government modernization initiatives.

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