Summary
Saúl Vargas is a Senior Data Scientist with 11 years of experience building and productionising machine learning systems, specializing in recommender systems, computer vision, and MLOps. Currently at Veriff, he improves verification automation with practical solutions like input quality assessment and global barcode scanning while driving engineering standards around Python typing and dependency management. His background spans product-impacting work at ASOS, Bolt and Infogrid—where he shipped recommendation models, OCR pipelines and sensor-driven analytics—and academic research on social media and search relevance. He blends rigorous academic training toward a PhD with hands-on system design, Terraform and MLflow/SageMaker deployment, meaning he delivers both novel models and maintainable, scalable infrastructure. Less obvious: he repeatedly balances deep research instincts with pragmatic engineering, turning experimental algorithms into reliable production services used at scale.
11 years of coding experience
6 years of employment as a software developer
PhD, Computer Science and Telecommunication, PhD, Computer Science and Telecommunication at Universidad Autónoma de Madrid
Exchange Student, Mathematics and Computer Science, Exchange Student, Mathematics and Computer Science at Universität Bielefeld
English, German, Spanish