Summary
Dragan Cvetinović is a senior software engineer based in Munich with nine years of experience applying information retrieval, ML/NLP and probabilistic modeling to real-world problems, including credit risk. He combines strong systems programming skills (Python, Rust, Go, C/C++, R) with cloud-native expertise (AWS/GCP, Docker, Kubernetes, Terraform) to build scalable, production-grade services. His background spans finance and ad-tech, from developing econometric stress tests and SVM-based rating systems to leading ML engineering at eyeo and driving distributed search and recommendation work at Cliqz. Dragan’s uncommon mix of quantitative finance training (MSc Financial Engineering) and low-level programming appetite lets him bridge model design and efficient implementation. He is particularly drawn to probability, math and programming languages, often favoring pragmatic, high-performance solutions over heavy frameworks.
9 years of coding experience
17 years of employment as a software developer
Bachelor's degree, Information Systems and Computer Science, Bachelor's degree, Information Systems and Computer Science at University of Belgrade
MSc, Financial Engineering, MSc, Financial Engineering at Temple University - Fox School of Business and Management