Daniel Garcia

Machine Learning Engineer at Meta

London, England, United States
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Summary

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Rockstar
🎓
Top School
Daniel Garcia is a Machine Learning Engineer with 14 years of experience building scalable, production-grade systems and a current focus on applying graph neural networks to integrity and recommendation systems at Meta. He blends deep ML research with strong engineering instincts from extensive roles at Red Hat—where he led Insights Compliance and contributed broadly to Foreman, Katello, and Satellite—and earlier systems work at CERN. Comfortable across the stack, Daniel has shipped backend and DevOps solutions (OpenStack, Docker, cloud integrations) and improved developer-facing tooling in well-known open-source projects like Fog and theforeman. His nickname as a "professional neural network nudger" captures a pragmatic approach: nudging models and infrastructure into reliable, maintainable production. He holds graduate training from Georgia Tech and brings an uncommon combination of open-source stewardship, large-scale systems experience, and hands-on ML deployment expertise.
code14 years of coding experience
job12 years of employment as a software developer
bookCharles III University of Madrid (Universidad Carlos III de Madrid)
bookMaster’s Degree, Computer Science, Master’s Degree, Computer Science at Georgia Institute of Technology
bookHackNY
bookBachelor, Computer Science & Engineering, Bachelor, Computer Science & Engineering at University of California, Irvine
languagesSpanish, English, French, Japanese
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Github Skills (47)

startup10
content-management-system10
ruby-rails10
puppeteer10
docker10
foreman10
back-end-development10
apidoc10
puppet10
kats10
plugin-development10
rails10
provisioning10
dockers10
ruby10

Programming languages (16)

MDXYaccCSSC++RustCGoHTML

Github contributions (5)

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theforeman/theforeman.org

Jan 2014 - Sep 2018

The new and improved Foreman website.
Role in this project:
userFull-stack Developer
Contributions:140 commits, 195 PRs, 173 pushes in 4 years 8 months
Contributions summary:Daniel primarily contributed to the website's content and structure, focusing on the media/video and article sections. They added and organized various presentations, videos, and articles related to the Foreman project. Furthermore, the user updated the website's design by updating to bootstrap 3.2 and changed the navigation.
foremanimproved
A place to share templates for various OSes for Foreman's provisioning
Role in this project:
userDevOps Engineer & Template Engineer
Contributions:19 commits, 27 PRs, 8 pushes in 3 years 5 months
Contributions summary:Daniel primarily contributed to the repository by enhancing and maintaining templates used for provisioning various operating systems, specifically focusing on Foreman's provisioning system. Their work included fixing bugs related to template rendering errors, and introducing new templates to support features like Fedora/RHEL Atomic kickstart and PXE provisioning. They also added functionality for setting up SSH keys automatically during provisioning and integrating with cloud-init scripts and Ansible Tower/AWX for post-installation configuration.
placeprovisioningshareforeman
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Daniel Garcia - Machine Learning Engineer at Meta