Summary
André Claudino is a Staff AI and MLOps Engineer and leader with over a decade of experience building high-performance distributed systems, machine learning platforms, and data engineering stacks across startups and large enterprises. He combines hands-on expertise in TensorFlow/PyTorch, Spark, Kubernetes, and multi-cloud deployments (AWS, GCP, Azure, IBM Cloud) with a research background in computational physics and dynamical systems (PhD-level), which informs his approach to optimization and resource-efficient ML serving. As a manager he's led data and ML teams to reduce costs and improve throughput for model training, serving and large-scale data processing, and he remains an active speaker, open-source contributor and community builder. Fluent in Python, Rust, Go, Scala and more, he particularly enjoys designing low-resource distributed systems that squeeze maximum performance from constrained infrastructure. Based in Rio de Janeiro, he balances strategic leadership with deep technical execution and a persistent curiosity for novel ML research and systems.
10 years of coding experience
11 years of employment as a software developer
PhD in Physics Computational Physics Dynamical Systems and Artificial Intelligence, PhD in Physics Computational Physics Dynamical Systems and Artificial Intelligence at UERJ
Computer Sciente Technical Computer Science, Computer Sciente Technical Computer Science at Centro Federal de Educação Tecnológica Celso Suckow da Fonseca
English, Spanish, Portuguese, English