Applied projects and practice-based case studies focused on cloud platforms, responsible GenAI systems, agentic workflows, and evidence-based technical decision-making.
Concrete builds with real constraints: cloud delivery, AI-assisted workflows, retrieval, evaluation, cost controls, and human-in-the-loop design.
An evidence-based assistant embedded in this site, designed to answer questions about my experience and projects while avoiding unsupported claims.
Status: Active
A full-stack agentic job-search platform that ingests Gmail job alerts and manual postings, deduplicates opportunities, evaluates role fit, and generates human-approved recommendations.
Status: Active / Building
A mobile-first AI language practice app that generates a daily Bento of personalized learning cards for Japanese, Spanish, and Korean.
Status: Active / Building
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