Nelson Bolaño
Machine Learning Engineer at Factored
Medellín, Antioquia, Colombia
Summary
👤
Senior🎓
Top SchoolNelson Bolaño is a Machine Learning Engineer with a decade of experience applying mathematical modeling, signal processing, and embedded neural networks to real-world problems from government document automation to production ML at Factored. He combines an electronics background and a master’s in engineering with hands-on skills in Python, NLP, computer vision, microcontroller-based real-time classification, and airflow-driven data pipelines. Nelson has delivered end-to-end solutions that cut legal-document processing from hours to minutes and deployed neural models on constrained hardware—an uncommon blend of cloud ML and low-level implementation. Based in Medellín, he’s driven by continuous learning and a curiosity for hidden patterns in data, often pairing feature-selection rigor with practical UX and systems thinking to make models useful in production.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree in electronic engineering, Electrical and electronic engineering, Bachelor's degree in electronic engineering, Electrical and electronic engineering at Universidad del Magdalenamaster's degree in engineering, Electrical and electronic engineering, master's degree in engineering, Electrical and electronic engineering at University of Magdalena
Spanish, English
Github Skills (160)
feature-extraction10
python10
prophet10
model-management10
feature-engineering10
ets10
exponential-smoothing10
forecast10
statistics10
econometrics10
dtw10
statsmodels10
ai10
shell10
cli10
Programming languages (9)
Github contributions (5)
nelsoncardenas/nelsoncardenas
Oct 2021 - Jun 2022
Contributions:24 commits, 12 pushes, 1 comment in 7 months
nelsoncardenas/intro-deployment-ml-model
Jul 2022 - Jul 2022
Contributions:3 reviews, 62 commits, 7 PRs in 11 days
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