Become a sponsor to Ricardo García Ramírez
Hi, I'm Ricardo
I'm a software engineer with a background in data science, and I build practical open-source tools, technical resources, and reproducible workflows.
My work sits at the intersection of engineering, data, and problem-solving. I care about building things that are actually useful: tools that save time, documentation that explains things clearly, and workflows that are reliable enough to trust in real projects.
What I work on
- Open-source software and developer tools
- Data science and automation workflows
- Documentation, examples, and technical write-ups
- Practical systems that favor clarity, reliability, and measurable usefulness
Why sponsorship matters
Sponsorship helps me spend more time maintaining and improving my open-source work instead of treating it as something I can only do around everything else.
Your support helps fund:
- Continued development of existing projects
- Better documentation, examples, and tutorials
- Bug fixes, maintenance, and long-term support
- Time to explore and publish new ideas in public
Why support my work
If my projects, code, or writing have helped you solve a problem, learn something, or move faster, sponsorship is a direct way to support more of that work.
I want to keep building useful, well-documented, evidence-driven tools that people can actually rely on. Your sponsorship helps make that possible.
Reaching this goal helps offset the small but real costs of open-source maintenance, including GitHub Actions, development tools, and coffee for the debugging sessions nobody sees. It’s a simple way to keep projects active and sustainable.
Featured work
-
ricardogr07/LinkedInWebScraper
Library designed to simplify and automate the process of scraping job postings from LinkedIn.
Python 1 -
ricardogr07/JAX-BO
This is a modified and extended version of the original JAX-BO library for Bayesian optimization, with improved compatibility and enhancements for modern Python and JAX versions.
Python -
ricardogr07/mx-jobs-insights
Analytics pipeline that transforms raw job-market snapshots into curated DuckDB/Parquet datasets, bilingual reports, and a public MkDocs documentation site.
Python -
ricardogr07/market-lab
Package-first research toolkit for reproducible market experiments: walk-forward ML evaluation, diagnostics, and paper-trading workflows.
Python -
ricardogr07/purkinje-uv
Modular scientific Python package for generating Purkinje-network geometries over cardiac surface meshes, with simulation, visualization, and PyPI packaging.
Python 1 -
ricardogr07/clipsmith
Local media automation pipeline: downloads Twitch VODs, transcribes Spanish audio with Whisper, ranks moments by chat activity, and cuts 9:16 clips via FFmpeg.
Python 1