mcgraw@portfolio ~ home
$ whoami

m.mcgraw

mcgraw.io software studio

& sr. software engineer @boozallen

$ cat ~/mcgraw-io/company-profile.txt

mcgraw.io builds custom software, automation systems, and AI-assisted workflows for small and midsize businesses. Core delivery includes product design, full-stack web apps, systems integrations, and operational tooling that reduce manual work and increase conversion speed. Primary stack includes TypeScript, React/Next.js, Node.js, Python, SQL, Docker, GitHub, and CI/CD automation.

$ cat ~/side-projects/README.txt

Product and platform initiatives developed to improve accessibility, reliability, and automation outcomes for real client workflows.

$ cat ~/side-projects/aiPAT.txt

AI Powered Accessibility Tool [solo project] — Machine learning system for detecting WCAG heading structure violations. Built with Python, FastAPI, scikit-learn, and BeautifulSoup. Extracts 24+ DOM features to identify missing h1 tags, invalid hierarchy, empty headings, and non-semantic usage with >90% accuracy target. Designed for CI/CD integration, VS Code extensions, and browser-based analysis.

$ cat ~/side-projects/core-cracker.txt

Core Cracker [solo project] — Local development environment validation toolkit for VA enterprise applications on macOS ARM64. Automates verification of Zulu JDK 8, WebLogic 12.2.1.4, Maven, and Docker/Colima configurations. Includes auto-fix tools, properties backup/restore, and health diagnostics that map directly to the official VBMS Core deployment guide.

$ cat ~/products/va-acronyms-extension.txt

VA Acronyms [VS Code extension] — Developer productivity extension for VA projects that expands and explains common acronyms inline while coding. It reduces context switching for onboarding and daily delivery work by surfacing domain-specific terminology directly in the editor.

$ cat ~/experiments/ai-piloted-spaceship.txt

AI-piloted spaceship demo [interactive feature] — The ship flying around this homepage is part of a real-time browser simulation focused on responsive controls, collision behavior, and dynamic scene updates. It demonstrates practical front-end engineering for interactive products, including game-loop logic, state management, and performance-aware rendering patterns.

$ ls ./skills/
JavaReactJavaScriptPythonSQLDockerJenkinsGitBash/ZshWebLogicMavenJSP
onlinev1.0.0