I bridge the gap between AI research and enterprise production. Building systems that don't just work in theory—they scale in practice.
Purpose-built for training, inference, and experimentation. Optimized for throughput and cost efficiency.
Most of it isn't - but some of it is, I guess. Either way, it's my slop: built on my hardware, on my terms, with 100% transparency into the process.
This entire site was coded from the ground up by local models - first by Gemma 4 31B, then handed off to Qwen 3.6 35B A3B. All running on my personal machine - no cloud models. The lead model will change again as new models become available. Every month there's been incredible progress in what local AI can do, and I intend to ride that wave.
My projects and posts have been curated and ideated by me - aided by AI, but they're my ideas brought to life. I see a need, an opportunity, or value in something, and now I have the tools to make it real.
Whether I'm behind the keyboard on my own time or someone else's, my mindset is the same: vision-oriented, solution-driven. I take pride in working within constraints — whether they're organizational or hardware limitations. You don't need to spend millions to do meaningful work with AI. I want to help people realize that, for the betterment of their organizations and the broader adoption of practical applications of AI, edge, cloud, or otherwise.