Rodrigo De Oliveira
MLOps at Sipremo
São Paulo, Brazil
Summary
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Top SchoolRodrigo De Oliveira is an MLOps specialist based in São Paulo with eight years of experience designing and operating machine learning pipelines and production infrastructure. He combines strong Python engineering with hands-on use of Pandas, GeoPandas, Scikit-learn and FastAPI to bridge geospatial data processing and ML model delivery. Rodrigo has implemented CI/CD, Docker/Kubernetes deployments, and AWS-backed solutions to ensure scalable, monitored, and resilient model lifecycles in production. His background in avionics systems and traffic-control maintenance adds operational rigor and a focus on reliability to his data-driven work. Currently pursuing an MBA in Data Science & AI, he pairs ongoing academic learning with practical automation projects like Zabbix integrations and PostgreSQL-backed reporting APIs. He seeks challenging roles that leverage geospatial ML and robust MLOps practices to turn experimental models into dependable services.
7 years of coding experience
Fédération Internationale de l'Art PhotographiqueEscolas Técnicas EstaduaisBacharelado, Electrical and Electronics Engineering, Bacharelado, Electrical and Electronics Engineering at UNINOVECurso Técnico Integrado, Mechatronics, Robotics, and Automation Engineering, Curso Técnico Integrado, Mechatronics, Robotics, and Automation Engineering at Colégio São Judas Tadeu - CSJTGithub contributions (5)
rodrigoro86/rodrigoro86
Jan 2022 - Oct 2022
Contributions:52 commits, 50 pushes, 1 branch in 9 months
rodrigoro86/Estudo
Jul 2022 - Nov 2022
Contributions:35 pushes, 1 branch in 4 months
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