I build AI systems where permissions, evidence, and failure behavior matter, from governed pull request review and .NET services to an ESP32 camera that sends checked images to an iPhone.

My work spans AI integration, distributed services, authorization, data, messaging, testing, and delivery. The common thread is making a complicated system understandable enough to change safely.

My education in computer and cybersecurity engineering supports that broad view. I can move from product behavior to service boundaries, data flow, security constraints, and implementation without treating them as separate problems.

This portfolio keeps every public claim close to evidence. Public work links to source code or merged contributions. Private work uses sanitized diagrams that explain architecture without exposing protected information.