Damian Romero is a computational linguist and educator with eight years of experience applying NLP, corpus linguistics, and pedagogical design to multilingual (English/Spanish/Portuguese) projects in academia and industry. He has contributed technical course material to the widely used spaCy course, adapting exercises and tests for Spanish, and has interned on ML/NLP pipelines at Explosion AI. His research has spanned health-language interventions—using NLP to improve outcomes for Spanish-speaking ovarian cancer survivors—and practical tools for text simplification and speech annotation. Damian combines classroom experience designing language curricula with hands-on data curation, annotation, and ML modeling, and is adept at leading cross-functional teams to deliver EdTech solutions. Based in Mexico City, he blends linguistic rigor with product-focused implementation, often translating research insights into scalable educational technology.
8 years of coding experience
4 years of employment as a software developer
The University of Arizona
Bachelor of Arts (BA), Spanish Teaching / Linguistics, Bachelor of Arts (BA), Spanish Teaching / Linguistics at UAQ
Contributions:13 reviews, 31 commits, 4 PRs in 3 months
Contributions summary:Damian's commits primarily involve modifications to exercises, solutions, and tests within a spaCy course. The code changes focus on adapting the material for the Spanish language, including adjustments to exercises, tests, and solutions. The contributions indicate a focus on refining the course content, ensuring accuracy, and providing language-specific examples.
Un repositorio muy sencillo para explorar los datos de infección por covid-19 (el nuevo coronavirus) de acuerdo con el (ECDC) Centro Europeo para la Prevención y el Control de las Enfermedades [https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide].
Contributions:78 PRs, 89 pushes, 13 branches in 9 months
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