Summary
Nazareno Garagiola is a PhD student at Saarland University with eight years of experience in machine learning, data science, and software dependability. He graduated top of his class in Computer Science from Universidad Nacional de Córdoba, where his thesis improved Spanish named entity recognition by fine-tuning a BETO-like model and combining supervised and unsupervised methods. His background spans OS, NLP, backend development, and probabilistic approaches to software dependability, and he has taught databases and algorithms, including Haskell-based labs. Nazareno has practical BI experience from industry and a track record of turning research ideas into applied solutions. Based in Saarbrücken, he blends strong academic rigor with hands-on engineering, often focusing on the intersection of probabilistic modeling and reliable software. A not-so-obvious strength is his ability to bridge theoretical ML techniques with production-ready data workflows learned from teaching and BI roles.
8 years of coding experience
Licenciatura en Ciencias de la Computación, Computational Science, Licenciatura en Ciencias de la Computación, Computational Science at Universidad Nacional de Córdoba
Spanish, English