About
A systems-minded approach to AI engineering.
I’m Raul Cardenas Montoya. My work sits where machine learning, operating systems, and hands-on experimentation meet.
I move between agentic engineering, GPU/CUDA work, Rust and Linux systems programming, neuromorphic computing, and FPGA/RTL experimentation. The shared question is practical: what does it take to make a technically ambitious system understandable, repeatable, and useful?
That perspective puts reproducibility at the center. It shapes how I approach data, experiment setup, tooling, and documentation—not as final polish, but as part of the engineering work itself.
I am pursuing AI Engineering at Western Governors University while building a practice grounded in careful systems work and public, inspectable artifacts.