Alejandro Betancourt

Machine Learning Principal at Mercado Libre

Bogota, Colombia
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Summary

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Senior
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Top School
Alejandro Betancourt is a Machine Learning Principal with 13 years of experience leading AI and data initiatives across Latin America, currently driving ML efforts at Mercado Libre from Bogotá. He has repeatedly scaled data teams and MLOps practices—most recently as CTO and Chief Data Officer at KLYM, where his pragmatic focus on optimization cut infrastructure costs by 60% while enabling rapid revenue growth and market expansion. Alejandro combines deep academic credentials (dual Ph.D. work in machine learning and interactive/cognitive environments) with hands-on engineering, from real-time video enhancement at TP Vision to spatial analytics used by municipal decision-makers. He helped launch Landing AI’s Latin America practice with Andrew Ng, bringing computer vision and industrial AI into production across manufacturing. Comfortable at the intersection of research, product and operations, he’s known for turning complex ML research into robust, cost-efficient fintech and industrial systems. Notably, his background in spatial clustering and open-source tooling shows a long-standing commitment to reproducible, high-impact analytics beyond headline models.
code13 years of coding experience
job11 years of employment as a software developer
bookPh.D. (Cum Laude) Interactive and Cognitive Environments, Ph.D. (Cum Laude) Interactive and Cognitive Environments at Eindhoven University of Technology
bookPh.D. (Cum Laude) Interactive and Cognitive Environments, Ph.D. (Cum Laude) Interactive and Cognitive Environments at Università degli Studi di Genova
bookMaster of Science (MSc with Honors) Applied Mathematics, Master of Science (MSc with Honors) Applied Mathematics at Universidad EAFIT
languagesSpanish, English
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Github Skills (2)

clustering5
machine-learning3

Programming languages (1)

TeX

Github contributions (3)

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abetan16/open_egohands

Oct 2016 - Oct 2016

Contributions:4 commits, 1 branch in 1 day
clusterpy/clusterpy

May 2013 - Dec 2013

Contributions:11 commits in 7 months
clusteringconstrainedconstrained-clusteringmachine-learning
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