Gabriele Calvo is an EV modelling expert and full-stack data scientist with nine years of experience building end-to-end analytics for renewable energy, from wind resource assessment to cloud-native production systems. He combines domain expertise in energy engineering (Master’s from Politecnico di Torino) with hands-on DevOps and software skills—designing Kubernetes clusters, Azure ETL pipelines, APIs and dashboards—to take models from research to operational alerts. His background includes senior roles at RES and Wood Group and field experience at GE, giving him a rare mix of on-site measurement know-how and scalable analytics delivery. He mentors junior engineers, runs internal hackathons to upskill teams, and is motivated by practical data solutions that accelerate the sustainable energy transition. An interesting detail: he evolved from an energy engineer into a renewable-energy data scientist, consistently bridging legacy engineering practices with modern ML-driven infrastructure.
9 years of coding experience
5 years of employment as a software developer
Politecnico di Torino & Univeristà del Piemonte Orientale "A. Avogadro"
Erasmus Student Energy Engineering, Erasmus Student Energy Engineering at Technische Universität Berlin
Master's Degree Energy Engineering, Master's Degree Energy Engineering at Politecnico di Torino
Contributions:14 commits, 12 pushes, 1 branch in 1 year 4 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.