Carlos Patiño
Research Engineer at Hugging Face
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolCarlos Patiño is a research engineer with about a decade of experience in machine learning and AI research, blending a rigorous physics background with production-grade ML. Based in the Netherlands, he currently advances LLM post-training as a Research Engineer at Hugging Face. Previously, as Staff ML Engineer at Factored, he built end-to-end ML solutions spanning large-scale attribution modeling, NLP workflow augmentation with LLMs, topic modeling, recommender systems, time-series forecasting, model interpretability, and privacy-preserving ML. His early work includes data science and NLP PoCs, and a Lacuna AI Fellowship that provided immersive AI training. He earned a physics degree from Universidad de los Andes, reflecting a strong quantitative foundation. He thrives at the intersection of research and scalable systems, turning complex data into structured insights and robust, privacy-aware models.
11 years of coding experience
6 years of employment as a software developer
Universidad de los Andes
Spanish, English, German
Github Skills (13)
python9
lifecycle9
artificial-intelligence9
lightning9
pytorch9
deep-learning8
infrastructure8
machine-learning8
scaling8
data-science8
ai8
app-templates7
cost-management7
Programming languages (2)
Github contributions (5)
cmpatino/optimal-observables
Feb 2021 - Jul 2023
Find analytic expression of observable that separates signal and noise using symbolic regression and neural networks.
Contributions:10 PRs, 69 pushes, 10 branches in 2 years 5 months
regressionsignalanalyticdeep-learningsymbolic-regression
cmpatino/cmpatino.github.io
Mar 2023 - Apr 2025
Contributions:29 pushes, 1 branch in 2 years
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