Daniel Urgel
Clinical AI Coordinator For NLP As A Service Senior NLP Engineer
Zaragoza, Aragon, Spain
Summary
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Senior🎓
Top SchoolDaniel Urgel is a Senior NLP Engineer and Clinical AI Coordinator with 11 years of experience applying AI across healthcare, computer vision, time series and model explainability. He currently leads NLP-as-a-Service efforts at Savana, building production-grade pipelines for EHR extraction, temporal inference and entity linking while balancing state-of-the-art models with operational efficiency. Previously he led NLP innovation at everis, creating cloud-native platforms (Docker/Kubernetes) and collaborating with research groups including MIT Media Lab on language models and knowledge graphs. His master's work on improving generalization for atherosclerotic plaque detection reflects a long-standing interest in healthcare impact and rigorous evaluation. Colocated in Zaragoza, Spain, he combines hands-on engineering, research collaboration and product-focused automation that improves data quality for clinical research.
11 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Universidad de ZaragozaBachelor’s Degree, Computer Engineering, Bachelor’s Degree, Computer Engineering at Tampere University of TechnologyMaster's degree, Artificial Intelligence Research, Master's degree, Artificial Intelligence Research at Universidad Internacional Menéndez Pelayo
Spanish, English, German
Github Skills (14)
classifier8
xmpp4
digit4
python4
machine-learning3
french3
spanish3
parser2
asyncio2
parse2
agent2
multiagent-systems2
artificial-intelligence1
ai1
Programming languages (3)
Github contributions (5)
mlagunas/OpenCV_Android
Feb 2016 - Apr 2016
Contributions:43 commits in 1 month
DaniSalva/CarotidArtery-DomainAdaptation
Aug 2019 - Sep 2019
Final Project for the Artificial Intelligence Research Master from the International University Menendez Pelayo (UIMP) and the Spanish AI Society (AEPIA).
Contributions:4 commits, 3 pushes, 1 branch in 13 days
aiartificial-intelligence
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