About

Network-minded, AI-curious, and always learning.

I work around networking, infrastructure, security fundamentals, AI-assisted workflows, and automation. This site collects the projects, notes, and homelab lessons that have been useful enough to document.

My interests sit at the overlap of network engineering, cybersecurity, AI systems, homelab infrastructure, smart home automation, 3D printing/modeling, and practical technical learning.

I like projects that turn fuzzy ideas into systems I can actually use: documenting how a service is wired, writing small automations to remove repeat work, testing AI workflows in bounded spaces, and building personal infrastructure that makes learning easier to revisit.

The goal here is to be genuine: part portfolio, part resume extension, part field journal. I want the site to show judgment, architecture thinking, tradeoffs, and the habit of turning experiments into maintainable notes without pretending to be something bigger or more polished than it is.

Operating principles

Useful, calm, maintainable.

The site favors clear writeups, small systems, and practical lessons over hype.

01

Document the shape

Capture goals, constraints, topology, and lessons while the decisions are still fresh.

02

Automate the repeat

Use scripts, agents, and checklists for repeatable work where they reduce friction.

03

Keep systems understandable

Prefer clear boundaries, simple diagrams, and notes that are useful when something breaks.