ruivieira.dev

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Welcome

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.

You can still find most of my old "blog posts" here:

• Serving models with Seldon
• (Semi) handcrafted RSS
• Introduction to Balanced Box-Decomposition Trees
• Monotonic Cubic Spline interpolation (with some Rust)
• Python monkey patching (for readability)
• Introduction to Isolation Forests
• MCMC performance on Substrate VM
• Containerised Streaming Data Generation using State-Space Models
• A simple Python benchmark exercise
• A streaming ALS implementation
• Bayesian estimation of changepoints
• t as mixture of Normals
• Langton's Ant
• A Gibbs Sampler in Crystal
• MCMC notifications
• gulp

Some topics on Machine Learning:

• A section on Explainability, with a focus on
  • Counterfactuals
• Synthetic data generation
  • Using Gaussian copulas, CTGAN and CopulaGAN
• Optimisation methods, including Hill-climbing optimisation

There are some areas about programming languages I frequently use, in no particular order:

• Go
• Python
• Java
• Clojure
• Rust
• Deno

And other frameworks/tools:

• Ansible
• Emacs

About me

I'm a 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.

Recently changed

• Hill-climbing optimisation
• Dunn index
• Optimising random forest hyperparamaters
• SSH
• GPG
• Python grammar of graphics
• Counterfactuals with Constraint Solvers
• Counterfactual Fairness
• Distance metrics
• Portuguese Christmas recipes
• Java consumer