Márcio Porto

Software Engineer at Meta

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
Márcio Porto is a software engineer with 11 years of experience, currently building model understanding and optimization tools on Meta AI Infra from Boston. He blends backend engineering with applied machine learning—having delivered NLP-driven chatbots, dialog systems, and CI-backed product pipelines at startups before joining Meta. Comfortable across the stack, he has shipped production services, payment integrations, and user-facing tooling, and pursued specialized nanodegrees in deep learning and deep reinforcement learning to deepen his ML practice. His background includes an exchange at Nanyang Technological University and a CS degree from Macalester, reflecting a mix of international exposure and academic grounding that informs pragmatic, research-aware engineering.
code11 years of coding experience
job4 years of employment as a software developer
bookExchange Semester, Computer Science, Exchange Semester, Computer Science at Nanyang Technological University
bookDeep Learning Foundations Nanodegree, Artificial Intelligence, Deep Learning Foundations Nanodegree, Artificial Intelligence at Udacity
bookBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Macalester College
languagesEnglish, Portuguese
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Stackoverflow

Stats
555reputation
43kreached
4answers
32questions
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Github Skills (86)

python10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
numpy10
neural-network10
nlp10
tensor10
sequence-labeling10
tensorflow10
autograd10
named-entity-recognition10
machine-learning10
word-embeddings10

Programming languages (9)

JavaC++CSSRustJavaScriptHTMLJupyter NotebookRuby

Github contributions (5)

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MarcioPorto/tesseract

Jan 2019 - Aug 2020

rolap engine for web applications, in Rust.
Contributions:100 pushes, 81 branches in 1 year 7 months
web-applicationsrolaprustweb-appengine
MarcioPorto/rlib

Mar 2019 - Dec 2019

Implementations of Popular Deep Reinforcement Learning Algorithms.
Contributions:2 releases, 10 PRs, 48 pushes in 8 months
implementationsreinforcement-learning-algorithmsdeep-learningreinforcement-learningdeep-reinforcement-learning
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