Summary
Carlos Montemuiño is a Staff Software Engineer with 13 years of experience delivering scalable distributed systems, data engineering and ML platforms, currently at Adyen in the Netherlands. He has led cross-team enablement, onboarding three teams to production-grade ML platforms at Adevinta (Schibsted) and built end-to-end tooling for ML experimentation, training, evaluation and serving, while introducing GitOps for deployment automation. His work spans data pipelines and cloud migrations—on-prem to GCP and AWS—leveraging Spark, Kafka, Kubeflow, Argo, Python, Scala and Go, with Kubernetes at the core. He contributes to academia and practice as an adjunct professor on distributed systems and cloud computing, and has steered ML platform initiatives at Glovo and other companies. With a background in self-driving cars (Udacity) and a career across finance and e-commerce, he combines deep engineering craft with a strategic, production-focused mindset.
13 years of coding experience
16 years of employment as a software developer
Master's Degree, Master's Degree at Universitat Autònoma de Barcelona
Intro to Self-Driving Cars, Intro to Self-Driving Cars at Udacity
Engineer's Degree, Engineer's Degree at Universidad Católica del Uruguay 'Dámaso Antonio Larranaga'