David Olóndriz is a Senior Data Scientist and Full Stack AI Engineer with 7+ years building production ML systems that span recommender engines, NLP, computer vision and LLM-driven dialog. He has designed and shipped end-to-end pipelines at scale—from containerised web apps and feature-store-backed recommenders at Glovo to a reasoning-model orchestrator and RAG-enabled chatbot at Revolut that improved retention and NPS in production. Comfortable across the stack, he authors infrastructure for deployment, monitoring and replay (Argo, Kubernetes, Spinnaker, datalake traces) and routinely evaluates models with LLM-as-judge and stress tests. Equally at home writing React/Django frontends as in optimising Redshift/Starburst queries or building multi-tool agent routines, he combines pragmatic engineering with a research-rooted background in bioinformatics and deep learning. Based in Barcelona, he brings a rare blend of product-minded delivery and hands-on expertise in agentic LLM systems and real-time recommenders.
7 years of coding experience
6 years of employment as a software developer
Máster en Business Analytics & Big Data Procesamiento de datos, Máster en Business Analytics & Big Data Procesamiento de datos at IMF Smart Education
Master in Bioinformatics for Health Sciences Computational Biology, Master in Bioinformatics for Health Sciences Computational Biology at Universitat Pompeu Fabra
UPC Universitat Politècnica de Catalunya
Bachillerato, Bachillerato at Escola Infant Jesús Barcelona
Contributions:34 PRs, 66 pushes, 5 branches in 1 month
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