Full-stack AI engineer

I build a lot of things. I ship the ones that earn it.

I'm a full-stack AI engineer: I build platforms end to end, with AI as the load-bearing part — turning models into products people actually use, not demos. Right now that's small language models, agents, and the question under all of it: can you trust what they produce? Quieter underneath runs a long thread of security and reliability.

A small map of this site An interactive map linking to the work, about, now, notes, and contact pages. Work About Now Notes Contact

Each point is a page. Hover to look closer.

The map has another side.

The other side · AI-assisted

The map, speaking.

Ask about the work, the approach, or what has his attention now. The voice is narrow by design: it answers from approved public material and points back to real pages.

  1. Page

    The public map is awake. Ask a useful question and I will point to what I know.

Complete the quiet verification before asking. Each response is generated when you submit.

This is a scoped AI interaction. Submitted questions are sent to OpenAI for a response. It is not Ali, and it does not have access to private information.

SpotifyScraper — the one people actually use.

A Python library that pulls clean, typed data out of Spotify's public web player — tracks, albums, artists, playlists, and podcasts — without official API keys. It isn't a demo or a placeholder: it's a real package on PyPI with real users, a documentation site, and the unglamorous maintenance that keeps a library alive across breaking changes. If you want to see how I build and support something other developers depend on, this is the honest example.

2026 · active · open source

SpotifyScraper

A Python library that turns Spotify's public web player into typed data — without official API credentials.

PythonWeb scrapingOpen sourceAutomation
Read the project details
259 Stars
28 Forks
334 Commits

The wider range.

Beyond that one shipped library the surface is broad — AI tools and agents, full-stack platforms, automation, and a steady undercurrent of security work. Most of it is private or client work, so I'd rather point to one thing I fully stand behind than a wall of half-claims.

A few of the public signals are real, though, and worth being honest about. The numbers below are fetched live when the site builds — never invented, never rounded up.

259 GitHub stars
1,312 SO reputation
32 Answers shared
25 Questions asked
More about how I work

What has my attention.

  • 01Learning small language models properly — what they can really do at sizes you can afford to run, and how to tell when one is actually any good.
  • 02Building agents with guardrails I trust: structured output, moderation, rate limits, hard cost caps. (The little 'ask' on this site is one of them.)
  • 03Treating verification as a feature, not an afterthought — proving that model output is faithful to its source before anything depends on it.
The current page

A good place to begin

Working on something interesting? Tell me about it.

Say hello
boiler room — ali@aliakhtari.com