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andres-vidal/README.md

Hi, I'm Andrés 👋

I'm a Computer Engineer with a strong academic background in Machine Learning and Statistics, and a particular interest in turning statistical ideas into efficient, usable software.

  • 🎓 Computer Engineering — Universidad de la República (Montevideo, Uruguay)
  • 📊 BSc in Statistics for Technology — Universidad de la República (finishing)
  • 🧠 Academic focus on statistical learning, machine learning algorithms, mathematical modelling, and their theoretical foundations
  • ⚙️ Currently developing a high-performance C++ implementation of Projection Pursuit Random Forests, designed to be used as an R package
  • 💼 6+ years of professional experience in industry at Wyeworks, working across frontend and backend systems (mostly TypeScript-based stacks)

While most of my industry experience is in full-stack development, my main interests lie in algorithmic development, ML systems, and performance-critical code, closer to research and systems-oriented engineering.


Interests

  • Machine Learning algorithms
  • Statistical learning
  • Mathematical modelling
  • High-performance and parallel computing
  • Reproducible research
  • C++ / R / TypeScript

📌 I’m especially interested in roles and projects at the intersection of machine learning, statistics, mathematical modelling, algorithmic development, and systems engineering.

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  1. pptree pptree Public

    High performant assembled Projection Pursuit (PP) decision trees

    C++ 1

  2. richardburton richardburton Public

    A repository that mantains data of English translations of Brazilian literature books.

    Elixir 2