Summary
Carlos Alves is a Senior Machine Learning Engineer with 11 years of software engineering experience, currently building production ML systems at AB InBev after designing a robust real-time and batch inference platform at PicPay. He blends strong software craftsmanship—SOLID design, clean architecture, and rigorous unit testing—with practical MLOps skills including Airflow, Spark, Kubernetes, and AWS services to take models from research to reliable production. Pursuing a Master’s focused on Isolated Sign Language Recognition with PyTorch, he brings both academic depth and hands-on expertise in computer vision and model deployment. Comfortable across languages from C++ and Clojure to Kotlin and Python, Carlos is equally at home optimizing distributed systems as he is iterating on research prototypes. Based in Espírito Santo, Brazil, he has a track record of improving observability and scalability in high-throughput environments and a penchant for turning complex integration challenges into maintainable platforms.
11 years of coding experience
9 years of employment as a software developer
Master's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Ifes - Instituto Federal do Espírito Santo
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Centro Universitário de Volta Redonda - UniFOA
High School Diploma, High School Diploma at Escola Técnica Pandiá Calógeras
The Pontifical Catholic University of Minas Gerais
Portuguese, English