As a computational linguist, my expertise lies in the formal modeling and computational representation of cognitive and linguistic phenomena. My professional background spans diverse environments, including prominent industry leaders such as Cerence, innovative startups like Process Talks, and advanced academic research projects such as TagFact and TaskGen. Throughout these roles, I have successfully designed and implemented sophisticated NLP systems, automated complex linguistic data annotation pipelines, fine-tuned cutting-edge neural architectures, and developed targeted prompt-engineering strategies to optimize performance on intricate language tasks. My technical skills are complemented by a robust academic foundation and ongoing research interests in phonology, typology, semantics, pragmatics, and linguistic anthropology, enabling me to bridge theoretical insights with practical, scalable solutions.
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Universitat de Barcelona - Regression and beyond (for language scientist but not only). Frequentist and Bayesian approaches
Universitat de Barcelona - Regression and beyond (for language scientist but not only). Frequentist and Bayesian approaches
Eumes - Ableton Live Training