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.

A special assignment to design and build an eight-component AI accessibility-remediation suite targeting WCAG 2.1 / 2.2 AA and ADA Title II compliance across documents, Canvas courses, web pages, and media. 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. The suite was built and demonstrated; it was not adopted into district operations and is not running in LACCD production systems.

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), built an AI virtual instructional designer that builds ADA-compliant Canvas pages, built 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 and development of AI systems: RAG, on-device LLM pipelines, and automated accessibility remediation.