Manuel Cartagena
AI Fullstack Engineer at UDP
Santiago, Santiago Metropolitan Region, Chile
Summary
👤
Senior🎓
Top SchoolManuel Cartagena is an AI Fullstack Engineer and co-founder with a Master's in Computer Science and a decade of hands-on experience building production ML systems and cloud-native infrastructure. He specializes in deep neural recommender systems, forecasting models, and GAN-based generative work for music and images, and has translated that research into academic publications and industry projects. Manuel blends fullstack and DevOps chops—deploying solutions on Azure, Heroku and other cloud platforms—with applied ML roles at startups and security firm ZeroFox. As a repeated teaching assistant in recommender systems, he pairs rigorous academic grounding with pragmatic product delivery, often tackling creative data problems like generative piano synthesis and visually-aware art recommendation. Colleagues describe him as a creative problem solver who enjoys turning experimental models into production features while scaling infrastructure for real-world use.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Pontificia Universidad Católica de Chile
Github Skills (66)
esoteric-language10
midi10
udp9
music9
synth9
esoteric-programming-language9
audio8
ai8
golang8
side-bar8
modular8
stylegan8
menubar8
programming-language8
homebrew8
Programming languages (12)
Github contributions (5)
mcartagenah/Orca
Oct 2020 - Apr 2026
Esoteric Programming Language
Contributions:6 PRs, 12 pushes, 6 branches in 5 years 7 months
code-golfesoteric-languagestandard-librarycompileresoteric-programming-language
mcartagenah/stylegan2-ada
Jan 2021 - Jun 2022
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
Contributions:2 PRs, 2 pushes, 1 branch in 1 year 4 months
adadeep-learningadaptivestylegan2discriminator
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