Summary
Kostadin Cvejoski is a machine learning researcher and team leader with 12 years of experience, currently focused on integrating temporal context into large language models and foundation models for time series. He holds a PhD in Machine Learning/AI from the University of Bonn and has led applied ML projects at Fraunhofer IAIS, translating research into industrial solutions across NLP, computer vision, cyber security, and predictive maintenance. As a Research Scientist and recent postdoc, he combines deep representation-learning expertise with hands-on deployment and project management, mentoring students and guiding cross-disciplinary teams. His work spans both theoretical reasoning in LLMs and practical systems for recommendation, text generation, and forecasting, reflecting a rare bridge between foundational research and production impact. Based in Bonn, Germany, he brings a practical software background from earlier mobile and .NET development, and off hours he recharges by cycling, jogging, and freediving — activities that echo his focus on temporal dynamics and endurance in research.
12 years of coding experience
15 years of employment as a software developer
Master's degree, Intelligent Systems, Master's degree, Intelligent Systems at Rheinische Friedrich-Wilhelms-Universität Bonn
CCNA courses, CCNA courses at Cisco Networking Academy
Doctor of Philosophy - PhD, Machine Learning/Artificial Intelligence, Doctor of Philosophy - PhD, Machine Learning/Artificial Intelligence at The University of Bonn
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at South-West University, Blagoevgrad, Bulgaria
English, Bulgarian, slavic languages, Macedonian, German