AI Systems Developer

U.S. Navy

2020 - 2021
Norfolk, VA

Built IL4-compliant AI systems for critical naval operations. Delivered transformative efficiency gains across 12 global commands.

Technologies Used

CrewAIRAG ArchitecturePythonSecurity ComplianceTensorFlowDockerRedis
Project Overview

Developed cutting-edge AI systems for the U.S. Navy that transformed critical operational processes. My work focused on creating intelligent automation solutions that could operate within the strict security requirements of military environments while delivering unprecedented efficiency gains.

Key Challenges
  • Meeting IL4 (Impact Level 4) security compliance requirements
  • Processing sensitive classified information with appropriate safeguards
  • Ensuring AI systems could operate reliably in disconnected/intermittent network environments
  • Building systems that could scale across 12 geographically distributed naval commands
  • Training AI models with limited, highly sensitive datasets
Solutions Implemented
  • Implemented CrewAI framework for multi-agent AI coordination and task distribution
  • Built Retrieval-Augmented Generation (RAG) architecture for secure information processing
  • Created containerized deployment system for consistent rollouts across commands
  • Developed secure data pipelines with end-to-end encryption and audit logging
  • Built offline-capable AI systems for operations in network-limited environments
Impact & Results
  • Reduced critical process completion time from days to minutes (95% improvement)
  • Achieved full IL4 compliance while maintaining AI system performance
  • Successfully deployed across 12 global naval commands with zero security incidents
  • Improved decision-making speed for time-critical naval operations
  • Enabled automated processing of thousands of documents per day
Key Lessons Learned
  • Security and compliance must be architected from the ground up, not added as an afterthought
  • AI systems in critical environments require extensive testing and failover mechanisms
  • User training and change management are crucial for successful AI adoption
  • Edge computing capabilities are essential for military AI deployments