Rafael Camanho

Rafael Camanho builds data science solutions and cloud-native applications at the intersection of machine learning and distributed systems. His engineering career spans roles at ThoughtWorks, VTEX, and Jusbrasil, where he architected scalable software across AWS, GCP, and Azure platforms. His technical foundation combines Python, R, and SQL for data engineering with Node.js and React for full-stack development. Camanho's infrastructure work centers on MLOps pipelines, containerized microservices, and enterprise integration patterns. He implements Docker and Kubernetes orchestration for production machine learning systems while maintaining both backend services and frontend applications. His projects demonstrate practical applications of big data technologies in cloud-distributed environments. Through technical writing and industry analysis, Camanho examines the evolving relationship between data systems and digital behavior patterns. His documentation and implementation guides cover cloud architecture, machine learning deployment, and scalable engineering practices. His portfolio catalogs specific projects and technical solutions developed throughout his consulting and corporate engineering roles.