Summary
Jugoslav Stojcheski is a Machine Learning Engineer based in Berlin with 11 years of experience bridging academic research and applied AI. He holds an MS in Machine Learning from the University of Tübingen and has research experience at the Max Planck Institute’s Rationality Enhancement Group, complemented by industry stints including a master’s thesis at Bosch and engineering work at Maddox AI. Jugoslav focuses on turning research-grade ML into production-ready systems, contributing to startup-scale AI products while grounded in rigorous probabilistic and rationality-driven methods. His background spans research internships to commercial ML engineering, giving him fluency in both experimental design and deployment constraints. Known for precise academic grading and a methodical approach (1.46/1.00 MSc), he brings a rare combination of deep theoretical training and practical product experience. Fluent in navigating cross-disciplinary teams, he excels at translating complex models into actionable features that drive real-world impact.
11 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Machine Learning, 1.46 / 1.00, Master of Science - MS, Machine Learning, 1.46 / 1.00 at University of Tübingen
Bachelor of Engineering - BE, Computer Science and Engineering, 8.90 / 10.00, Bachelor of Engineering - BE, Computer Science and Engineering, 8.90 / 10.00 at Faculty of Computer Science and Engineering - Skopje
English, German, Croatian, Macedonian, Portuguese