Summary
Hugo Selbie is a Customer and Partner Solutions Engineer at Google with a decade of experience designing and delivering data-driven and generative AI solutions for enterprise customers and global system integrators. He blends a strong background in marine science and spatial analytics with software engineering practices, having moved from ecological modeling and GIS to building Python and SQL automation for Looker and Google Cloud. Hugo has led complex technical migrations and governance initiatives—consolidating multiple Looker instances, creating least-privilege data models, and automating large-scale workflows to improve reliability and trust in analytics. He also pilots new generative AI products, teaches advanced Dialogflow/Gemini bootcamps, and has been a certified L400 Dialogflow trainer, evidencing both technical depth and enablement skills. Comfortable liaising between product, engineering, and customers, he brings a pragmatic mix of scientific curiosity and production-grade engineering to solve domain-specific problems at scale. An interesting throughline is his ability to translate field-derived spatial reasoning into robust cloud analytics and AI workflows.
10 years of coding experience
4 years of employment as a software developer
BSc Marine Geography, BSc Marine Geography at Cardiff University / Prifysgol Caerdydd
University of California, San Diego
English, french (elementary)