Summary
Dima Taji is an academic software engineer and researcher with nine years of experience focused on Natural Language Processing, especially the syntax and morphology of low-resource, morphologically rich languages. Based in Prague, he combines academic roles with strong technical training—holding degrees from Birzeit University and an MS from New York University—to bridge theoretical linguistics and practical NLP systems. As an Academic Assistant at the Institute of Formal and Applied Linguistics, Charles University, he works at the intersection of computational methods and linguistic description, often tackling languages that lack large annotated corpora. His background suggests a willingness to blend rigorous research with tooling and data-driven approaches to make under-resourced languages accessible to modern NLP pipelines. Colleagues value his deep domain focus and steady academic-to-implementation pathway that brings linguistic nuance into computational models.
9 years of coding experience
Computer Science, Computer Science at Ethnikon kai Kapodistriakon Panepistimion Athinon
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at New York University
Masters Degree, Computing, Masters Degree, Computing at Birzeit University
Russian, Hebrew, Spanish, Turkish, French, Greek, English, Arabic