Dante Gil-marín is an Enterprise Engineer at Meta with a decade of engineering experience and a Computer Science degree from the University of Chicago. An immigrant from Mexico based in Oakland, he builds full-stack systems for Reality Labs order fulfillment and internal LLM-driven recommendation tools, and previously shipped automation in Facebook’s internal financial product that saved substantial monthly accounting costs. His background spans applied ML and systems research—optimizing video file databases with ML-driven compression and cutting median retrieval times by 60%—as well as hands-on roles in deepfake image processing, predictive industrial software, and web apps. Comfortable across Hack/PHP, React, GraphQL, Python, TensorFlow, and SwiftUI, he bridges research and production to turn experimental models into operational services. Colleagues rely on him for pragmatic, end-to-end solutions that surface efficiency gains behind the scenes.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Chicago
A template of sorts I made as a starting point for my private MERN app projects
Contributions:2 releases, 4 PRs, 108 pushes in 15 days
reactexpressjsstarting-pointmernexpress
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