Summary
David Montaner is a Senior ML/AI Engineer and Data Scientist with 13 years of experience building production-grade NLP and LLM solutions for finance and genomics. He blends deep academic rigour—a PhD in Bioinformatics and strong statistical training—with hands-on Python engineering to deliver end-to-end data pipelines, RAG and graph-based retrieval systems, and model monitoring in cloud environments. At Citi he applies NLP and LLMs to automate data lineage and credit risk modelling, while earlier roles include leading AI efforts for financial taxonomies and ESG analytics. Known for turning complex, high-dimensional data (from genomic cohorts to millions of transaction records) into repeatable, auditable ML products, he bridges research, consulting, and productisation. Based in London, he brings a rare mix of domain breadth across finance and life sciences and a track record of shipping scalable, interpretable models into production.
12 years of coding experience
22 years of employment as a software developer
Master’s Degree Statistics with Applications in Medicine, Master’s Degree Statistics with Applications in Medicine at University of Southampton
Master’s Degree Mathematical Statistics and Probability, Master’s Degree Mathematical Statistics and Probability at Universidad Complutense de Madrid
Doctor of Philosophy (Ph.D.) Bioinformatics Functional Genomics Machine Learning, Doctor of Philosophy (Ph.D.) Bioinformatics Functional Genomics Machine Learning at University of Valencia
English, Spanish, French