Summary
Blai Ras is a Gen AI engineer and data scientist from Barcelona with eight years of experience building production-ready analytics and AI solutions across aviation, automotive, and research organizations. He leads data strategy and engineering—most recently at Immfly and now at Cargill—where he’s responsible for data integrity, forecasting, and embedding ML into business operations. His academic background (BSc and MSc in Computer Science/Data Science from Universitat de Barcelona) is paired with teaching as an associate professor, bridging principled algorithms and real-world system design. Prior roles at Accenture, Eurecat and Vicomtech include work on discrimination-detection algorithms, high-dimensional sales-forecasting frameworks, and XR projects with AI components. Known for thinking twice and coding once, he combines full-stack deployment experience with a research mindset that surfaces subtle biases and inter-product relationships in large, complex datasets.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Master's degree at Universitat de Barcelona