Summary
Matheus Hoffmann is an MLOps engineer with 9 years in software development and 7 years focused on fintech, including core work on Brazil’s first instant cross-bank transaction engine ahead of PIX. He combines deep experience in Scala, Python, Spark and Databricks with hands-on MLOps—building feature stores, optimizing model experimentation (16x faster) and slashing batch costs by 77% via Delta Lake migrations. Comfortable in early-stage startups and acquisitions, he’s led infra and CI/CD for Kubernetes-based ML platforms (Kubeflow, ArgoCD, Terraform) and won Signifyd’s Tenacious award for technical impact. Pragmatic about production concerns, he routinely turns research workflows into reproducible pipelines and scalable services. Based in Santa Catarina, Brazil, he pairs a hardware-plus-software background (FPGA and embedded systems) with a taste for functional programming and distributed systems.
9 years of coding experience
6 years of employment as a software developer
Engineer's Degree - paused, Electronics and Computers Engineering, Engineer's Degree - paused, Electronics and Computers Engineering at Federal University of Rio de Janeiro
Electronics Technician, Industrial Electronics Technology/Technician, Electronics Technician, Industrial Electronics Technology/Technician at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca