Previous Employers
- Douglas Steel · 2006 to 2015
- Ross Steel · 2016 to 2023
These are the two most respected companies I have worked for, and I thank them explicitly for the opportunity to serve.
Infrastructure, fabrication, systems
Hi! I'm Louis!
This is my page! I'm a husband, a father, a savant of fabrication and welding,
and I think I've done some cool stuff. Ironman 140.6 Finisher. Probably quite Autistic.
These are the two most respected companies I have worked for, and I thank them explicitly for the opportunity to serve.
I graduated high school. A few years later, I earned a 4.0 in Welding 1 at Lansing Community College. Fourteen years after high school, I earned a 4.0 in Precalculus at Lansing Community College.
Construction of the expansion began on November 19, 2007. I went on to work with both hired fabricators to cement my legacy to that job. Jim Harbaugh is a personal hero of inestimable worth. Nothing I've worked on before or since has scratched that itch, and I've been looking for it my entire career.
An ad-hoc flame-hardening recovery on a 4140 blade, built from a broken procedure I was trying to reinvigorate. The final product exceeded standards and hit Rockwell 59 consistently.
The welders didn't account for warping, and I had to straighten a 2 inch curve and 1 inch camber out of a work roll rail. It took multiple stress-relief passes, plus pre-machining weld build-up. Nightmare fuel.
A new top wrapper build, the first one made there in 40 years. It was machinist verified to no more than .006 global off tolerance. Paul was the engineer on it, and he told me I was the most talented man he'd met in the last 20 years.
Weld build-up for machine finishing, with distortions visible in the weld pattern. The bearings on the lathe were bad, and they blamed the rookie foreman for not knowing how to weld. Guess who was laughing when we had to emergency pull and replace the bearings for a 1955 German lathe.
Front-page images are controlled by photos/front-page.json.
Infrastructure Engineer · Builder · Athlete
I build and operate infrastructure for a living and for sport. The lab runs a fleet of Proxmox hypervisors, TrueNAS storage, a multi-vendor GPU stack, and more ZFS pools than any reasonable person would want to maintain.
When I'm not in front of a terminal, I'm usually in the workshop or moving under my own power somewhere. Everything here is documented the way it deserves to be — not the way that's easiest to post.
The Lab
I built it to answer one question: how useful can modern AI become when it is connected to evidence, real systems, and disciplined engineering practice?
My background isn't software. It's manufacturing. Decades of building, fitting, welding, troubleshooting, and improving physical systems. Steel, machinery, production processes. That work taught me three things that don't change regardless of the material:
Reality
Evidence matters more than opinion. The material tells you what it is, not what you hoped it would be.
Reproducibility
If you can't reproduce a result, you don't have a result. You have a story.
Failure
Every failure teaches something. The ones that don't teach anything were poorly documented.
Procedure
Good systems are built on tested procedures, not on assumptions about how things ought to work.
When the AI era arrived, I didn't treat it as magic. I approached it the same way I approached manufacturing: build a shop, develop procedures, gather evidence, test assumptions, and learn how the machines actually work.
That shop is what you're looking at.
Some succeed. Some fail. All of them leave evidence behind.
An experiment in AI-assisted operational tooling. The question isn't whether AI can write code - it's whether AI can operate a system responsibly, on evidence, over time.
Active researchAn evidence collection and validation framework. A system that cannot prove what it did is a system that cannot be trusted. This is the foundation everything else runs on.
Active researchResearch into maintaining trustworthy relationships between AI systems and real-world observations. The goal is grounding, not performance.
Active researchOngoing work investigating AV1 encoding, media pipelines, and reproducible performance testing on Linux. Xe2 is interesting hardware. The driver story is still being written.
OngoingMedia Ingestion Pipeline/Upscale
A private lab project for turning owned physical media into curated household-library editions. The current example is Star Trek: Enterprise from personally owned Blu-ray source media to a 4K HDR10 AV1 curated edition. The workflow preserves the source, normalizes metadata, handles audio and subtitles, applies enhancement where appropriate, encodes efficiently, verifies playback, and publishes the result to Jellyfin.
Agentctl and evidencectl profiles are being created to support the full path from ingestion through curation and AI upscaling into publish-ready library assets.
Receive → Preserve → Identify → Normalize → Enhance → Encode → Verify → Publish → Archive
For my lab. For my library. Not for resale. Not for distribution.
Active researchSurvive the desert. Hack the system. Choose your path.
A persistent frontier prototype built with a Godot client and TypeScript
world server. It is built as a reproducible systems test: client sends
proposals, server validates and commits, and truth is reconstructed from
authoritative TRUTH frames plus witness logs.
Current focus is the persistence slice: identity/auth, movement, territory claims, outpost lifecycle states, encounter/combat flow wiring, and session-resilient world state.
Core ideals: server is reality, durable state over flashy mechanics, small composable state machines, explicit rollback/validation contracts, and replayable rebuilds of world history.
Active research"I believe individuals can do meaningful technical research. You don't need a corporation. You don't need a university. You need curiosity, discipline, and a willingness to publish what you learn."
Most technical websites about AI were written by people who have never debugged a failing weld or figured out why a production line stopped at 2am. This one wasn't.
The rarest thing in any field isn't intelligence. It's someone willing to show their work before they know how it ends.
Send a note, project idea, fabrication question, or anything that should land in my inbox.