Manuel Cartagena
Machine Learning Engineer II at ZeroFox
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
5 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 (95)
percentage10
udp9
midi9
cli9
esoteric-language9
esoteric-programming-language9
command-line-tool9
binaries9
macbook-pro9
image-quality9
touchbar9
administration9
battery-level9
synth8
golang8
Programming languages (10)
Github contributions (5)
mcartagenah/Orca
Oct 2020 - Jul 2023
Esoteric Programming Language
Contributions:2 PRs, 10 pushes, 2 branches in 2 years 10 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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