Mateo Restrepo
Machine Learning Engineer at Factored
Bogota, Colombia
Summary
👤
Senior🎓
Top SchoolMateo Restrepo is a machine learning engineer and physicist with 8 years of experience applying statistical learning and big data techniques to production systems from Bogotá, Colombia. He blends academic rigor from an MS in Physics with hands-on delivery as Tech Lead for data engineering (Spark, Snowflake, AWS) and current ML engineering work at Factored. Mateo is proficient in Python ecosystems (Pandas, Scikit-learn, TensorFlow) and experienced in building ETL pipelines, serverless deployments and containerized workflows. Known for strong problem-solving and research skills, he moves models from prototype to scalable pipelines and enjoys bridging theory with practical data infrastructure. An understated strength is his teaching background, which he leverages to communicate complex ML concepts clearly to cross-functional teams.
8 years of coding experience
4 years of employment as a software developer
Universidad de los Andes
Spanish, English, German
Github Skills (6)
sql6
python6
database6
traffic-analysis4
fastapi1
saml1
Programming languages (2)
Github contributions (5)
mrestay/DS4A-traffic-project
Mar 2020 - May 2020
A repo for things related to the traffic analysis project
Contributions:86 commits, 1 PR, 44 pushes in 2 months
traffic-analysis
m-restrepo11/StatMech-HW4
Nov 2017 - Feb 2019
Contributions:7 pushes, 1 branch in 1 year 3 months
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