Applied projects and practice-based case studies focused on AI systems, cloud delivery, and evidence-based decision-making.
Concrete builds with real constraints. Useful, testable, and designed to communicate decisions—not just stacks.
An evidence-based assistant embedded in this site, designed to answer questions about my experience and projects while avoiding unsupported claims.
Status: Active
An anime recommendation project exploring retrieval, similarity, and ranking with practical UX and explainability.
Status: Planned / Building
An interactive, narrative-driven paranormal experience designed for people who love the uncanny—exploring how belief, evidence, and ambiguity shape perceived reality.
Status: Concept / Prototype
Independent, practice-based write-ups focused on constraints, decisions, and tradeoffs. These are based on small-scale projects or publicly available material—not employer-specific implementations.
Practice-based case study examining how a deliberately over-provisioned, small-scale AI system (OtakuAI) was redesigned to demonstrate cost-aware architecture decisions and ethical AI governance using AWS tooling and formal risk frameworks.
Status: Documented
Practice-based AI governance case study applying formal risk frameworks to a real-world generative AI system, resulting in a documented risk register and mitigation recommendations.
Status: Documented