Summary
María Vallina is a Senior AI Solutions Engineer with 11 years of experience bridging academic research and applied ML, holding a PhD in Computer Science from the University of Groningen. Her research on visual place recognition and data-efficient representation learning (including a CVPR-published methodology) underpins practical work leading multimodal and generative AI efforts at NielsenIQ and now at Plexigrid. She combines deep expertise in contrastive representation learning and graph-based ML with hands-on product-driven deployment, improving product understanding across text, image, and networked data. An advocate for reproducible research and PhD student rights, she has published datasets and methods (TB-Places) from robotics projects and helped shape university diversity and inclusion policy. Despite a focus on cutting-edge models, she keeps a pragmatic BI and software engineering foundation from earlier roles, making her effective at taking research into production.
11 years of coding experience
4 years of employment as a software developer
Grado en Ingeniería Informática del Software Ingeniería de software, Grado en Ingeniería Informática del Software Ingeniería de software at Universidad de Oviedo
Master in Artificial Intelligence Artificial Intelligence, Master in Artificial Intelligence Artificial Intelligence at Universitat Politècnica de Catalunya, Universitat de Barcelona, Universitat Rovira i Virgili
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Groningen
Spanish, English, French, neerlandés, asturiano