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CristobalSantana/README.md

Hi, I'm Cristóbal

Physicist by training, AI engineer by trade. I build ML systems and write about their strange, poorly understood failure modes, the stuff that looks fine in a demo and breaks in production.

  • ✍️ I write at my newsletter on the failure modes and architectures of modern ML
  • 💼 LinkedIn
  • 🔬 Currently building a SaaS and running reproducible ML experiments at Science_ML

Open-source contributions

  • DashAI, Chile's public AI framework: contributed a BART regression model and a Matthews correlation coefficient metric (merged into develop)
  • auto-bayesian, Santander AI Lab: fix for a silent NaN-handling bug in one-to-many aggregates (PR open)

Popular repositories Loading

  1. Bayesian_inference_implementation Bayesian_inference_implementation Public

    Bayesian inference

    Jupyter Notebook

  2. Solution_maze Solution_maze Public

    Maze with solution

    Jupyter Notebook

  3. Weather_prediction Weather_prediction Public

    Jupyter Notebook

  4. auto-bayesian auto-bayesian Public

    Forked from SantanderAI/auto-bayesian

    Config-driven, interpretable Bayesian network training for relational tabular data.

    Python

  5. dashAI dashAI Public

    Forked from DashAISoftware/dashAI

    dashAI: an interactive platform for training, evaluating and deploying AI models

    Python

  6. CristobalSantana CristobalSantana Public