A full day on job-search infra: ATS playbook, STAR writing, and interview prep
Built an ATS-friendly resume playbook, a STAR writing guide anchored to past experience, screened several roles for fit, and prepped study material for an upcoming interview.
A heavy day in one place: turning my job search into a real system instead of one-off applications.
career
Most of the day went into the career repo, spread across many parallel workspaces that all merge into the same project.
The biggest piece was a reusable ATS-friendly playbook for software and full-stack roles, with side-by-side BAD vs GOOD examples so the rules are concrete instead of abstract. Next to it I wrote a writing playbook built on the STAR method, with anchors tied to each past experience so I can assemble strong bullets fast instead of starting from a blank page.
I also kept a running fit screening: for each role I looked at, I checked my profile against the requirements before deciding whether to apply. Several roles went through this filter in parallel. For one application I went deeper, mapping the hiring funnel stage by stage and sketching portfolio ideas tuned to what that team actually builds.
The last chunk was interview prep: turning my PDF resume into clean Markdown, then revising it with the lessons from the ATS, LinkedIn, and resume work. I also pulled together study material on TypeScript, MongoDB, React, and Next.js, and revisited older parts of my own history (government real-time monitoring, university IT, civil-engineering quoting) to describe them accurately and tighten the career narrative.
pi-tg
A small but satisfying cleanup on a side project: added a GitHub Actions workflow, a LICENSE, and README badges. Basic repo hygiene that makes the thing look maintained and ready for others to read.
Systems beat scrambling: the playbooks I wrote today will save me hours on every application from here on.