Designed for
people. Built for
possibility.

The challenge

Coordinate accessibility work across courses, documents, websites, an LMS, and vendor products. Findings need owners, practical fixes, and evidence of what happened next.

My approach

I co-chair the campus Accessibility Committee and connect policy, faculty development, technical remediation, and review. The emphasis is on accountable processes and explicit human judgment.

What I built

• AccessRemediate: a Python document-accessibility engine that turns supported formats into a common representation and produces remediated files and fix guides.
• Access Hub: a SvelteKit and PostgreSQL governance layer for action items, owners, deadlines, review status, vendor documentation, and audit history.
• Faculty support: Deque University administration, accessibility guidance, and OSCQR course-quality reviews.

Automated checks and manual review have distinct roles. A scanner result alone does not establish conformance.

The question

How can game-based learning inform the design of hybrid and online instruction from the beginning?

From research to artifact

My 2018 M.S. thesis, Game Based Learning in Hybrid/Online Instruction, included MyQuest: a story-based prototype where dialogue choices build a D&D character sheet and introduce tabletop mechanics through play.

The continuing exploration

gamED extends that work into platform architecture informed by Bloom’s Taxonomy, Flow Theory, and Self-Determination Theory, including progress models and AI-assisted content ingestion.

This is applied research and prototype work. It is not presented as a launched learning platform or evidence of measured learning gains.

The problem

A job search can become a repetitive cycle of searching, sorting, and re-reading the same listings.

The build

JobHunt extracts skills, duties, and certifications from résumés, searches job boards, deduplicates results, and scores matches against the profile. Daily digests become usable notes in an Obsidian vault.

Design choices

Local-first processing, no required account, and no LLM API in the matching loop. The public repository lets reviewers inspect the implementation and tests.