Field notes from a geospatial data engineer. I write up the spatial data pipelines, GIS and QGIS work, and Python and AWS plumbing I build, plus the AI workflows I use to ship them faster.
How I went from a pile of inconsistently named personal repos to a clean <scope>-<what> convention, a README pattern, and a deliberate public/private split.
A dated snapshot of the tools I run day to day: Obsidian, Claude Code, Astro, and Python on Windows. What earns a permanent slot, and what I cut this year.
How I run Claude Code, custom skills, and Model Context Protocol servers across development, writing, and knowledge management, so each improvement to the setup feeds the next.