About / Site
The site, mapped
cunnning.com is the public lab notebook of an aerospace engineer building machine-learning systems that catch failure before it happens — in jet engines, servers, and live data streams. Most about pages hand you a paragraph and a headshot; this one hands you the wiring diagram. Hover a node to see what's inside; click to travel.
System map
Hover or tap a node to see what lives there — click to travel.
The tour
Home is mission control. A live status line says what the lab is doing right now. A feed pulls whatever's trending in AI, fresh on every visit. And the jet engine in the corner isn't decoration — look closely and you'll find a GPU where the combustor should be, burning raw data and exhausting dollar signs. That engine is the whole thesis of this site, drawn in one picture.
Projects is where the receipts live. Not "skilled in PyTorch" — actual case studies with the reasoning shown: a NASA turbofan dataset, models that catch failing engines before they fail, and the honest error bars to go with them. If you're here to evaluate the lab, start here.
The blog is the thinking, in public. Deep-dives, design decisions, and debugging war stories — wrong turns included, because the wrong turns are where the learning is.
And About? You're standing in it. Three doors: this map, the AI that co-builds everything here — toolchain, models, and every token on the books — and the human who signs off on all of it.
Why this site exists
Because "trust me, I'm good at ML" isn't evidence. This site is the evidence — every case study shows its work, every post shows the process, and the site itself is exhibit A: hand-built, line by line, by one engineer and one AI working as a duo.
It's a lab notebook that happens to be public. Public notebooks keep you honest.