Summary
Raúl Bruballa is a Principal Applied Scientist with a decade of experience building and productionizing computer vision and recommender systems across research and industry, currently leading ML efforts at Shutterstock from Dublin. He blends deep academic training (PhD in Computer Vision) with hands-on engineering—training Inception-v1 on ImageNet from scratch on a self-built 4-GPU rig and coding custom self-supervised gradients in Caffe. His work spans video action recognition at scale, large-cluster training, RecSys engineering and A/B testing, and recent text-to-image generative modeling on massive catalogs. Raúl is also a clear communicator whose blog posts on loss functions continue to attract significant readership and citation. He has a track record of turning research into production, with ACM RecSys publications, patent submissions, and end-to-end R&D frameworks developed from scratch.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Computer Vision, Doctor of Philosophy - PhD Computer Vision at Universitat Autònoma de Barcelona
UPC Universitat Politècnica de Catalunya
Catalan, Spanish, French, English