Computer and Information Sciences student at Niagara University, digital forensics track.
I build AI systems that stay under human control: models propose, policies decide what is permitted, and people keep authority over anything irreversible.
- mae: a personal AI copilot whose identity lives in written doctrine and external memory rather than in any one model. Includes an offline deployment (local Llama 3.1 8B with a deterministic safety guard), a policy engine that gates changes to the system itself, a privacy-first memory intake pipeline, and research papers on AI governance.
- eagles-classes: coursework in systems analysis and design, statistics, and history, plus research on AI in digital forensics and ALPR governance.
AI governance and safety, digital forensics, systems analysis, local and offline AI.