
Javier is a senior MLOps Engineer with over 12 years of experience supporting ML teams through reliable tooling and infrastructure. His background spans DevOps, cloud engineering, and ML operations. He has worked with US-based product teams to standardize ML deployment workflows and reduce operational friction.

Javier has built internal tools for model deployment, experimentation tracking, and monitoring. He is particularly focused on developer experience and reducing cognitive load for ML practitioners.
His approach is enablement-focused: he measures success by how easily ML teams can ship, monitor, and improve models in production.

