Carlos Dos Santos is an experienced data engineer and system architect with 15 years building cloud-native, distributed systems and data platforms across startups, academia, and enterprise clients. He has led technical teams and projects—from co-founding a software consultancy to heading data science and architecting transaction processing and Kubernetes migrations—bringing a pragmatic blend of research-driven methods and production-first engineering. Comfortable across the stack, he has hands-on expertise in Python, microservices, DevOps pipelines, real-time WebSocket architectures, and data tooling used to detect fraud and scale CPU-intensive workloads. His background includes managing large European-funded research choreographies and applying academic techniques to commercial problems, giving him a rare fluency between formal distributed-systems research and applied data engineering. Based in São Paulo, he pairs an MBA in Data Science with research experience at The University of Tokyo, and outside work enjoys exploring topics from blockchain to homebrewing, which often fuel unconventional problem-solving ideas.
15 years of coding experience
11 years of employment as a software developer
Master of Business Administration - MBA, Data Science, Master of Business Administration - MBA, Data Science at Instituto de Ciências Matemáticas e de Computação (ICMC) - USP
University of Tokyo
Ensino médio, Ensino médio at Colégio Vértice
Bachelor in Computer Science, Distributed Systems, Bachelor in Computer Science, Distributed Systems at Instituto de Matemática e Estatística - Universidade de São Paulo (IME-USP)
Contributions:37 PRs, 139 pushes, 129 branches in 10 months
low-levelopenflowparser
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