AI Systems Lab
Experiments around model-serving paths, retrieval, knowledge layers, local agents, MCP, AI system observability, and evaluation loops that can be operated by small teams.
Lab
A Working Lab for Hands-On Systems, AI, and Field Infrastructure.
This area will house videos, screenshares, build notes, demos, and links to other media from hands-on work on real-life projects: hardware bring-up, AI infrastructure, Linux systems, Apple Silicon experiments, robotics-adjacent experiments, and field-oriented automation.
Infrastructure Lab
Reproducible OS workflows, QEMU/KVM, Forgejo, infrastructure observability, secret handling, remote access, and workstation or server automation.
Robotics and Edge Lab
Field-oriented compute, sensing workflows, constrained networks, and the operational patterns autonomous systems inherit from infrastructure.
Coming Soon
The lab is intentionally sparse for now. It will become a media index for practical project work: walkthrough videos, screenshares, repository links, Apple Silicon experiments, field notes, test evidence, and references that show real systems being built, debugged, validated, and operated.