I build AI that helps people teach and learn.

Part of the AI initiative launch at the largest OER platform in the U.S. I built an AI-assisted accessibility remediation tool for textbook pages (Gemini vision drafts alt text and structural fixes mapped to WCAG criteria, with human approval and an audit log), a MathJax-aware scanner that renders dynamically-typeset STEM homework in a real browser to catch what static scans miss, and an AI study assistant pairing a RAG textbook chat with a real-time voice tutor.

Tapped by the LACCD District Office to design and build an eight-component AI accessibility-remediation suite, automating WCAG 2.1 / 2.2 AA and ADA Title II compliance across documents, Canvas courses, web pages, and media for the nine-college district. Its Canvas LTI 1.3 tool scans whole courses and remediates them in place. The reporting model deliberately separates machine-fixable checks from those that still need human review, so it never claims false compliance.

Campus Canvas LMS administrator and front-line technology support for faculty, staff, and students. I serve on the District Academic Senate AI Taskforce (shared governance), helped implement “Joshua,” an AI virtual instructional designer that builds ADA-compliant Canvas pages, build POCR tooling for accessible online course review, and evaluate accessibility vendors with Academic & Student Affairs. I also produced an eight-video how-to series on the college’s official YouTube channel.

My AI engineering and technology-consulting practice, and the vehicle for applied-AI and accessibility work in education, including the LibreTexts engagement. I lead the design, development, and deployment of production AI systems: RAG, on-device LLM pipelines, and automated accessibility remediation.