Projects

Architected an AI-augmented development workflow combining Claude (reasoning), GitHub Copilot (code generation), and internal LLMs (domain context) to accelerate development velocity by 40% while maintaining DoD security compliance.

• Implemented secure prompt engineering patterns for classified environments
• Reduced developer onboarding time by 30% through automated documentation
• Established best practices adopted across 5+ engineering teams

Led the integration of FedRAMP-compliant LLMs into mission-command applications for the Department of Defense, ensuring AI features met Impact Level (IL) data requirements.

• Architected secure API gateway for LLM access in classified networks
• Implemented audit logging and compliance monitoring systems
• Delivered training to 20+ engineers on secure AI development practices

Engineered a C# External API for Stanley Black & Decker that generated $15M in new revenue by enabling third-party integrations with enterprise inventory systems.

• Designed RESTful API architecture supporting 10K+ requests/minute
• Implemented OAuth 2.0 authentication and rate limiting
• Achieved 99.9% uptime SLA over 2-year production period