This experimental project dynamically composes PDF CVs using example data from my career history.
Visitors are invited to select a summarisation level, preferred document length and relative priority of different disciplines.
The resulting PDF can be previewed dynamically in the page and optionally downloaded.
To experiment, please use a desktop Chrome browser. A snapshot of the SPA is published at https://cefn.com/cv
A standard PDF CV without filtering or summarisation is available at https://cefn.com/blog/files/cv.pdf
The project is written in Typescript using NextJS, React and my own state-management solution @lauf/store. It is published as a static, purely-client-side Single Page Application.
Multi-platform support (any non-Chrome, non-Firefox or mobile browsers) is unlikely and not worth it for this experimental testing ground.
Run a local dev version
yarn run dev
Build and export the static pages
npx next build
npx next export
Preview the exported pages locally
sh -c "cd out && python3 -m http.server 8000"
Upload manually
rsync -e ssh --recursive out/ user@domain.com:/path/to/folder/