Daniel Gaskins portfolio

A dependency-free, career-focused portfolio for an applied machine learning engineer.

Run locally

From this directory:

python3 -m http.server 8000

Then open http://localhost:8000.

Structure

• index.html — content and page structure
• mendmark.html — ML agent-evaluation project case study
• syncabill.html — applied AI invoice-workflow case study
• resume.html / resume.css — browser and print versions of the résumé
• meet.html / meet.css / meet.js — lightweight calendar booking interface
• meet-backend/ — Google Apps Script calendar, invitation, and cancellation service
• styles.css — responsive visual system
• script.js — navigation, header, and reveal interactions
• favicon.svg — vector favicon

The site has no build step and can be deployed to any static host.

Deployment

The main branch is published directly with GitHub Pages at danielgaskins.github.io and uses the custom domain danielgaskins.com.

• CNAME declares the custom domain to GitHub Pages.
• .nojekyll ensures GitHub serves the static files without Jekyll processing.