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Public GitHub Projects

These repositories provide public, inspectable evidence of current documentation-engineering and AI-assisted documentation work.

AI Docs-as-Code with MkDocs​

Repository: AI-Docs-as-Code-MKDocs
Published site: harjotdhodi-gif.github.io/AI-Docs-as-Code-MKDocs

A governed documentation workflow built around Markdown, MkDocs Material, GitHub Actions, Vale, AI-assisted review, and human approval.

Implemented workflow highlights

  • Markdown source documentation in GitHub
  • MkDocs Material static-site publishing
  • GitHub Actions CI/CD
  • Vale deterministic style and terminology checks
  • AI-assisted documentation review
  • Human approval controls
  • HTML publication through GitHub Pages
  • Automated PDF and DOCX outputs

Why it matters: Demonstrates documentation as a versioned engineering workflow rather than a standalone authoring activity.

AI Workflow in Docs-as-Code​

Repository: AI-Workflow-in-Doc-As-Code-2

A practical exploration of how AI review can be inserted into a Git-based documentation lifecycle while retaining review and publishing controls.

Portfolio themes: Git workflows · AI review · Documentation QA · Human verification · CI/CD

Standard Workflow in Docs-as-Code​

Repository: Workflow-in-Doc-As-Code

Demonstrates the baseline Docs-as-Code model without making AI the center of the workflow: source content, repository controls, automated build, and published documentation.

Portfolio themes: Markdown · GitHub · Static-site generation · Version control · Documentation workflow

FAQ Generator​

Repository: FAQ-Generator

A public project focused on generating structured FAQ content from source information for knowledge-base and self-service use cases.

Portfolio themes: Knowledge base · FAQ design · Structured outputs · Customer self-service

What These Projects Demonstrate​

Together, these repositories show the shift from conventional document authoring toward documentation engineering:

  1. Content is maintained as source-controlled knowledge.
  2. Changes are reviewable and traceable.
  3. Automated checks can detect deterministic issues.
  4. AI can assist with contextual review without becoming the final approver.
  5. Human review remains part of the publishing gate.
  6. Approved source content can generate multiple delivery formats.

For a broader view of career work, see Selected Portfolio and Professional Experience.