Summary
Matheus Couto is a Senior Machine Learning Engineer based in Rio de Janeiro with 8 years of engineering experience and 4 years focused on designing, building, and deploying production-grade AI systems. He specializes in Generative AI (LLMs, RAG, agents) and MLOps, with proven skills architecting scalable data pipelines and AI solutions using Python, AWS, Snowflake, and dbt. At TechnipFMC he led delivery of a production RAG chatbot, built robust Snowflake pipelines, and established MLOps and AI governance practices that raised reliability and accelerated feature development. Now at Nubank, he continues to bridge advanced AI research and production engineering, mentoring teams and operationalizing models at scale. His background as a mechanical engineer and early offshore installation analysis work gives him a practical systems-thinking lens that informs his approach to complex ML systems. He’s equally comfortable authoring prompt engineering and agent frameworks as he is designing the underlying data architecture that makes them reliable in production.
8 years of coding experience
7 years of employment as a software developer
Brazil Scientific Mobility Scholarship Program, Mechanical Engineering, Brazil Scientific Mobility Scholarship Program, Mechanical Engineering at University of Alabama at Birmingham
Technician, Mechatronics, Technician, Mechatronics at Escola Técnica Rezende-Rammel
Bachelor of Engineering - BE, Mechanical Engineering, Bachelor of Engineering - BE, Mechanical Engineering at Cefet/RJ - Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
Data Science, Data Science at Digital House Brasil
English, Portuguese, German