Carlos Patiño
Research Engineer at Hugging Face
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolCarlos Patiño is a research engineer specializing in applied machine learning and large language model post-training, currently contributing to Hugging Face while pursuing an MSc in Artificial Intelligence at the University of Amsterdam. With 11 years of technical experience and 6+ years focused on ML, he has built end-to-end solutions ranging from LLM-based information extraction from PDFs and Markdown to billion-record attribution systems and privacy-preserving ML. He scaled production ML at Factored as a staff engineer, delivered NLP and forecasting PoCs in industry projects, and earlier developed computational simulation tooling during research internships. Comfortable bridging research and engineering, Carlos combines deep physics training with hands-on deployment experience—an unusual blend that helps him reason about model behavior and system performance across both experimental and production settings.
11 years of coding experience
6 years of employment as a software developer
Master of Science Artificial Intelligence, Master of Science Artificial Intelligence at University of AmsterdamUniversidad de los Andes
Spanish, English, German
Github Skills (12)
python9
lifecycle9
artificial-intelligence9
lightning9
pytorch9
deep-learning8
infrastructure8
machine-learning8
scaling8
data-science8
ai8
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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