Rafael Mosquera
Founder & Editor
Making artificial-intelligence systems work in the real world.
About
A two-track ML publication at the seam between research and production.
The Artificial Engineer is a publication about building machine-learning systems that actually work in the real world. Two parallel tracks: deep technical dives for engineers who ship, and clear explainers for everyone who wants to understand what modern AI is really doing.
Reproducible
Experiments you can rerun, benchmarks with the full setup, and evaluation protocols stated in plain terms.
Honest
What works in production, what fails, and where the research paper stops matching the deployed system.
Dual-track
Technical depth for engineers who ship, accessible explainers for everyone else who wants to understand.
The premise
Two tracks, one mission.
The gap between a published paper and a shipped system is bigger than anyone admits. Technical writing often assumes you have been inside the research bubble for years. Popular ML writing flattens nuance until it stops being true. There are very few bridges between the two.
This publication tries to be one of those bridges. Two parallel tracks, each closing the gap from a different side:
For Engineers
Reproducible experiments, benchmarks, architecture breakdowns, and production lessons learned the hard way.
For Everyone
Plain-English explainers of how AI shapes daily life, with analogies that stick and no PhD required.
Contributors
The people writing this.
Founded and edited by Rafael Mosquera, with guest contributions from researchers and engineers working at the seam between ML research and production.
Get in touch.
Specific engineering challenge, post idea, guest pitch, or an argument about evaluation methodology, all welcome.