I build AI infrastructure.

Paying close attention to memory budgeting, runtime tooling, and system-level performance so you have a dependable, reliable AI system running locally.

GPU Radeon VRAM 8 GB OS Windows LATEST BENCH 242 tok/s

What I focus on

1

Model Management

Loading, swapping, and organizing local models so they run cleanly within your system memory.

2

Custom Tooling

Practical utilities, benchmarks, and background helpers built to test and keep local AI running smoothly.

3

User Interfaces

Clean, responsive dashboards and web interfaces that make interacting with local models straightforward.

Notes on AI, systems, and building software

Have something in mind, or want to compare notes?

I'd love to hear about it. I read every email myself.