Pilar Úbeda is a PhD researcher and experienced software engineer from Córdoba with eight years blending applied NLP research and production-grade software development. She specializes in biomedical natural language processing and medical entity recognition, translating clinical text challenges into robust models and prototypes at HT médica and Universidad de Jaén. Her background in full-stack and enterprise Java systems (Redsys, Vector ITC, INSA) gives her a practical edge in engineering reproducible pipelines and integrating NLP into real-world applications. Pilar has concurrently taught at multiple universities, bringing research insights into the classroom and mentoring the next generation of engineers. She holds a doctorate in Information Technology and a strong foundation in computer engineering, enabling her to move comfortably between rigorous research and hands-on system implementation. Colleagues describe her as someone who bridges academic rigor with production pragmatism, often spotting clinically relevant patterns that others overlook.
8 years of coding experience
2 years of employment as a software developer
Técnico en Explotación de sistemas informáticos, Técnico en Explotación de sistemas informáticos at Instituto Mario López
Doctorado Tecnología de la información, Doctorado Tecnología de la información at Universidad de Jaén
Técnico superior administración de sistemas informáticos, Técnico superior administración de sistemas informáticos at Instituto gran capitan
Contributions:10 commits, 7 pushes, 1 branch in 2 years 7 months
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