Summary
Jasmina Pegan is an AI researcher and former DevOps engineer with a decade of hands-on experience bridging machine learning research and production tooling. She holds a master's in Computer and Information Science from the University of Ljubljana, with a thesis in NLP and follow-up work on synonym/antonym detection using ELMo embeddings. At Arctur she transitioned from building containerized DevOps pipelines to researching applied AI, while earlier roles included integrations in C# and contributions to language-resource projects. She also tutors mathematics, algorithms and computer networks, reflecting a strong foundation in discrete math and systems thinking. Outside work she pursues NLP side projects and competes in CTFs, a combination that highlights both her applied ML focus and practical security curiosity. Based in Nova Gorica, Slovenia, she blends academic rigor with production experience to deliver research-informed engineering solutions.
9 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Ljubljana, Faculty of Computer and Information Science
Slovenian, English, Italian