Jorge Robles - Machine Learning Engineer

Jorge Robles

Machine Learning Engineer

Greater Mexico City, State of Mexico

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Summary

👤

Senior

🎓

Top School

Jorge Robles is a Machine Learning Engineer with nine years of experience focused on applied Generative AI at EverAI. He blends practical ML engineering with data science instincts, building production-ready models informed by a strong academic foundation from Instituto Politécnico Nacional, Université de Technologie de Compiègne, and a cum laude MSc in Data Science in Engineering from TU Eindhoven. Comfortable across the stack as a developer and data scientist, he translates research ideas into deployable systems that solve real-world problems. Based in Greater Mexico City, he brings international exposure from academic exchanges in Europe that inform his collaborative, multidisciplinary approach. Jorge’s background suggests a particular aptitude for bridging model development and engineering constraints, making him effective at turning experimental models into reliable products.

9 years of coding experience

Academic Exchange, Informatics, Academic Exchange, Informatics at Université de Technologie de Compiègne

The National Polytechnic Institute of Mexico

Master of Science - MS, Data Science In Egineering, Cum laude, Master of Science - MS, Data Science In Egineering, Cum laude at Technische Universiteit Eindhoven

French, English, Spanish, Italian

Github Skills (61)

python9

nlp9

speech-recognition8

batch8

streaming8

neural-architecture-search8

deep-learning8

ruby-client8

natural-language-processing8

machine-learning8

java8

pytorch8

architecture8

feature-selection8

beam7

Programming languages (4)

JavaHTMLJupyter NotebookPython

Github contributions (5)

gomerudo/gomerudo.github.io

Sep 2018 - Apr 2024

Contributions:17 pushes, 2 branches in 5 years 8 months

gomerudo/tuerecommendersystems

Feb 2018 - May 2018

Contributions:28 commits, 26 pushes, 1 branch in 3 months

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