Filipe Monteiro is an MLOps Engineer with eight years of experience building and deploying ML-driven systems, currently focused on productionizing models at ARRISE after shaping MLOps practices at BCA Europe and Syone. He combines a strong software engineering foundation from a master's in Software Engineering with hands-on cloud and infrastructure expertise—Terraform on Azure, Databricks, Azure Data Factory, MLflow and FastAPI—bridging data science and engineering to deliver efficient, reproducible pipelines. His background includes R&D in deep learning and LiDAR perception for autonomous driving at Bosch, giving him practical experience with research-to-production challenges. A long-standing curiosity about computing and a history of tutoring object-oriented and imperative programming reflect both technical depth and a talent for explaining complex ideas. Active on GitHub and driven by building societally impactful solutions, he blends academic rigor with pragmatic engineering to accelerate ML adoption in production.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Software Engineering, Master's degree, Software Engineering at Universidade do Minho
Ciencias e Tecnologias, Ciencias e Tecnologias at Escola Secundária Martins Sarmento
Pratical lessons, projects, by year and respectively semester
Contributions:6 PRs, 44 pushes, 7 branches in 1 year 3 months
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