Summary
Carlos Montemuiño is a Staff Software Engineer based in the Netherlands with 13 years of experience designing and operating large-scale distributed systems, data platforms, and ML infrastructure. He specializes in GPU infrastructure and multi-tenant AI platforms, and has driven platform initiatives that shorten ML lifecycle times through GitOps, Kubeflow/Argo tooling, and end-to-end deployment automation. Carlos has led cloud migrations and platform builds across on-prem, GCP and AWS while enabling batch and streaming data access (Spark, Kafka) for multiple product teams. He pairs hands-on engineering (Python, Go, Scala, Kubernetes) with architectural leadership, having architected high-throughput streaming systems and serverless data connectors for clients like Nvidia and Intel. As an adjunct professor he has codified practical labs to onboard teams, showing a talent for translating complex platform capabilities into repeatable, production-ready practices. Practical, migration-minded, and research-trained, he blends academic rigor with a strong track record of turning ML and data platform ambitions into scalable reality.
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'