LaTeX source for my résumé.
Click here to see the up-to-date PDF version.
👆 The PDF is built and published on GitHub Pages using GitHub Actions :)
To do a local build of the TEX you need a TeX Live distribution with all the required packages (full-installation just to be sure). Then:
latexmk main.tex
That's it!
This repository includes a .devcontainer
configuration to connect VSCode to a Docker image that comes with TeX Live
installed + LaTeX Workshop extension. This image is the same used by the CI pipeline to deploy the PDF.
You can open the project in VSCode, connect to the remote container and build the PDF within
there. Note: Make sure to select the latexmkrc
recipe to build.
If you need to quickly get a managed environment to edit LaTeX documents, go for https://overleaf.com. It provides an online editor with a TeX Live full installation, and you can build the PDFs from there. Keep an eye on the options as this document needs to be built with LuaLaTeX.
The sad part is that (at the time of writing) the integration with Git is for paid plans only.
If you fork this repository to bootstrap your own resume keep in mind the following:
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The published page is connected to Google Analytics.
-
If you pretend to use this feature you should replace the
MEASUREMENT_ID
environment variable by your own. To do that, you can define it as a repository secret (note: this ID is not secret, but I defined it as such to not mess it with eventual forks). -
If you DON'T want to link it with analytics, you should remove the script in the
index.html
:<!-- Global site tag (gtag.js) - Google Analytics --> <script async src="https://www.googletagmanager.com/gtag/js?id=${MEASUREMENT_ID}"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', '${MEASUREMENT_ID}'); </script>
And the placeholder replacement step in the CI pipeline (See
.github/workflows
).
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-
The published page is using DataUnlocker to recover analytics traffic blocked by ad-blockers.
-
If you pretend to use this feature, you need to define a repository secret
DATA_UNLOCKER_PROP_ID
with the property value provided by DataUnlocker. -
If you DON'T need/want this feature, just remove the whole step from the CI pipeline (See
.github/workflows
).
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