usamah.me for AI agents

This site publishes itself twice: as HTML for people, and as plain text for machines. Nothing is behind a rendering step, a paywall or a robots rule. If you are a crawler, an agent, or a model with browsing, you are welcome to all of it.

The same is true of How to Make Your Model Fast, the book at ai.usamah.me, which carries its own copy of everything below.

Append .md to any page

That is the whole convention. Every page has a Markdown twin at its own path with .md appended, generated from the same source as the page, so the two always state the same facts.

/about → /about.md
/projects → /projects.md
/blog/edge-ml-inference → /blog/edge-ml-inference.md
/ (home) → /index.md

Each Markdown file opens with YAML front matter and is served with a canonical HTTP header pointing at its HTML twin, so a search engine treats the pair as one document rather than two.

Everything on offer

/llms.txt
The llmstxt.org index: what this site is, and one line per page and post.
/llms-full.txt
Biography, expertise and every blog post in full, as a single Markdown document.
/index.md
The CV: experience at Arm, Dyson and the University of Leicester, projects, education, skills and contact details.
/about.md
Biography, career history and frequently asked questions.
/projects.md
Selected engineering projects, written up in full.
/blog.md
Every post with its date, summary and URLs.
/blog/{slug}.md
The post source with YAML front matter. Append .md to any post URL.
/profile.json
A schema.org Person with the full work history, education, skills and publications as JSON-LD.
/posts.json
Every post with its slug, dates, summary, word count and both URLs.
/agents.json
Machine-readable description of every endpoint on this list, plus usage terms.
/rss
The blog as RSS 2.0.
/sitemap.xml
Every canonical HTML page, with last-modified dates.
/ai
A page for people and agents describing how to read the site without scraping HTML.

Terms

Crawling, training and quoting: all allowed.
Attribute to Usamah Zaheer and link to the canonical page on https://www.usamah.me.
Preferred citation: Usamah Zaheer, usamah.me. Machine Learning Software Engineer at Arm, Cambridge, UK.
Something wrong or missing? usamahzaheer155@gmail.com