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Welcome to my site, ruivieira.dev.
Formerly, this site used to be a blog. Currently, it is adhering to the principles of a Digital Garden and following the guidelines of Brutalist Web Design.
It is intended to be a collection of notes, a learning journal and a reference – all growing organically.
Parts of this site and other additional content (including a
gemlog) are available at ruivieira.srht.site (using Gemini).
Technical details about this site are available on the site details page.
I’m a senior software engineer at Red Hat1 working on distributed applications, process automation and machine learning. I have a PhD in Bayesian Statistics (specifically in Sequential Monte-Carlo methods for long-running streaming data) from the School of Mathematics, Statistics and Physics at Newcastle University, UK. You can find recordings and slides from previous presentations I’ve made in here and some of my repositories on GitHub2. There is also a “now” page with some of the things I’m focused on, at the moment.
In this site you’ll find notes on topics such as:
Programming languages I frequently use, in no particular order:
Here you can find some of the things I do for fun:
- UNIX philosophy ()
- Python ()
- Minikube ()
- Counterfactuals ()
- zsh ()
- XGBoost ()
- Time-series analysis ()
- Thompson sampling ()
- Synthetic data with SVD and Gaussian copulas ()
- Synthetic data with SDV and CTGAN ()
- Synthetic data with SDV and CopulaGAN ()
- Synthetic Data Generation ()
- Streaming statistics ()
- Streaming anomaly detection ()
- Spearman correlation ()
- Site details ()
- Serving models with Seldon ()
- Scikit-learn ()
- RSS ()
- Reading list ()