Felipe Florencio
Machine Learning Engineer at Instituto das Cidades Inteligentes
Sergipe, Brazil
Summary
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Senior🎓
Top SchoolFelipe Florencio is a Machine Learning Engineer with 12 years of technical experience and four years focused on deep learning, NLP and performance evaluation, bridging research and production-grade MLOps. He holds a MSc in Computer Science and is pursuing an MBA in Machine Learning in Production, combining rigorous academic research with practical deployment expertise. Felipe has built multi-GPU training pipelines, model compression for embedded systems, and RAG/Prompt Engineering solutions, and has defined standards and infrastructure for scalable model deployment. His background in computer architecture and embedded accelerators adds an uncommon hardware-aware perspective to ML system design. Based in Sergipe, Brazil, he blends scientific rigor—publishing and developing models during his graduate research—with hands-on REST API and monitoring implementations that push models reliably into production.
12 years of coding experience
9 years of employment as a software developer
High School Diploma, High School Diploma at Colégio de Aplicação da UFSMaster of Business Administration - MBA, Machine Learning in Production, 9.0/10.0, Master of Business Administration - MBA, Machine Learning in Production, 9.0/10.0 at Universidade Federal de São Carlos - UFSCar OficialMaster of Science - MS, Computer Science, 4.0/4.0, Master of Science - MS, Computer Science, 4.0/4.0 at Universidade Federal de SergipeTechnical, Electronic, 7.9/10.0, Technical, Electronic, 7.9/10.0 at IFS - Instituto Federal de Sergipe
Portuguese, English, FrenchGithub contributions (5)
fjapa/lfcproject
Jan 2014 - Jan 2020
Contributions:18 commits, 1 push in 6 years 1 month
florencioufs/kerastfexperiment
Apr 2020 - Sep 2020
Contributions:10 pushes in 5 months
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