Sergi Cabeza is a PhD student and researcher with 9 years of engineering experience focused on continual learning and generative modelling, currently based at KU Leuven. He has translated research into practice through internships at Mila and the Computer Vision Center, where he applied diffusion models for bias mitigation, built synthetic datasets for panel segmentation matching state-of-the-art results, and advanced Transformer-based dialogue generation for comics. Earlier full‑stack roles and IoT projects show he pairs solid software engineering (Django, Spring, Node-RED) with research rigor. Passionate about memory and representation—echoed in his GitHub motto—he combines practical dataset and model-building skills with a nuanced interest in how models retain and generate information.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Vision and Continual Learning, Master's degree, Computer Vision and Continual Learning at KU Leuven
Grado en Ingeniería, Computer Science, Grado en Ingeniería, Computer Science at Universitat Autònoma de Barcelona
Desarrollo de aplicaciones multiplataforma (LOE), Ciclo formativo de formación profesional, Desarrollo de aplicaciones multiplataforma (LOE), Ciclo formativo de formación profesional at Nicolau Copèrnic
Contributions:14 commits, 3 pushes, 2 branches in 3 months
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