Summary
Vítor Mussa is a Tech Lead in Software & AI Engineering with 12 years building cloud-native, data-driven systems and production ML/LLM pipelines from architecture to code. Based in Minas Gerais, Brazil, he combines deep Python expertise and distributed-systems experience—microsservices, Kubernetes, CI/CD and message-driven architectures—with hands-on work on satellite imagery and Earth-science products. He has led teams at Sette across service design, infrastructure and operationalization, and previously built data platforms and ETL pipelines using Spark, dbt and cloud-native serverless stacks. Trained in sociology and anthropology while grounded in engineering (electronics/computer background), he brings interdisciplinary thinking to technical problems and mentors less-experienced engineers. An active open-source contributor in his spare time, he often translates research and domain requirements into robust, production-ready tooling.
11 years of coding experience
8 years of employment as a software developer
Master's Sociology and Anthropology, Master's Sociology and Anthropology at Federal University of Rio de Janeiro
English, Spanish, Portuguese