Pedro Spinosa
Machine Learning Engineer at Nubank
Brazil
Summary
🤩
Rockstar🎓
Top SchoolPedro Spinosa is a Machine Learning Engineer with six years of experience building MLOps and AI platform infrastructure, currently accelerating model deployment and onboarding at Nubank. He has a track record of productionizing models through standardized containerization, REST serving, and integration services that enable third‑party and cutting‑edge LLMs to run within existing pipelines. Pedro focuses on reliability and scalability—optimizing inference latency, managing Python lifecycle compatibility, and automating onboarding workflows to boost team productivity. He complements hands‑on engineering with documentation, training, and user feedback loops to evolve tools for real users, and his past research work produced monitoring and parallel training utilities that increased throughput by roughly 50%. Based in Brazil, he blends strong software engineering practices with practical ML operations know‑how to move models from prototype to robust production.
6 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Federal University of Ceara
Github Skills (8)
python9
machine-learning9
data-analysis8
data-science8
quest7
rio7
ml5
javascript3
Programming languages (3)
Github contributions (5)
spinosaphb/ufc-estrutura_de_dados
Oct 2020 - May 2021
Contributions:7 commits, 6 pushes, 1 branch in 6 months
spinosaphb/ufc-machine-learning
May 2021 - Oct 2021
Contributions:47 pushes, 2 branches in 4 months
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