Summary
Eduardo Lopes is a DevOps/Site Reliability Engineer with eight years of experience building CI/CD pipelines, lightweight secure containers, and Kubernetes environments both on-premises and in AWS. With a background in Java and Python development and hands-on experience in distributed systems, he bridges development and infrastructure to deliver resilient, observable platforms using tools like GitLab CI, Docker, Kafka, RabbitMQ, Zabbix and the Grafana stack. He has advanced from embedded Linux internships to architecting cloud-native infrastructure, bringing a pragmatic understanding of resource-constrained systems that informs efficient container and orchestration design. Currently pursuing a master’s focused on Deep Learning and 3D mesh classification, he explores ML applied to computational geometry alongside his production SRE work. Colleagues value his collaborative mindset and belief that collective effort produces the best outcomes. Based in Minas Gerais, Brazil, he combines academic curiosity with production-grade engineering at the intersection of infrastructure and applied machine learning.
8 years of coding experience
5 years of employment as a software developer
Mestrado, Mestrado at PUC Minas
The Pontifical Catholic University of Minas Gerais