Summary
Claude Gibert is a seasoned Scientific Software Engineer with over 30 years of experience building data-driven systems for startups, large enterprises and government agencies, currently contributing to the Met Office’s ML Model Intercomparison project. He combines pragmatic, calm problem-solving with strong abstract thinking to design generic, reusable Python software and scalable data architectures across HPC, cloud and operational environments. Claude has led cross-disciplinary teams and delivered production-grade tools for organizations such as NASA, ECMWF, UCAR/JCSDA and The Economist, often translating research into reliable operational pipelines. He excels at simplifying complex workflows—evidenced by lean, future-proof automation at Genomics England and a Kafka/Cassandra-backed payments matching system at Bink. Comfortable operating at the intersection of technical architecture, big data management and software development, he also brings a rare history of introducing Python-based frameworks into conservative scientific organisations. Based in Arborfield Green, UK, he pairs deep meteorological domain knowledge with practical product-minded delivery.
10 years of coding experience
26 years of employment as a software developer
DEUG A Maths Physics, DEUG A Maths Physics at IAE Perpignan
Technicien Software and Electronics, Technicien Software and Electronics at Ecole nationale de la Météorologie
MSc. Human Computer interaction, MSc. Human Computer interaction at De Montfort University
Baccalaureat Maths Physics, Baccalaureat Maths Physics at Lycee Lacroix, Narbonne
english, french, some german