Summary
Marko Đorđević is a Machine Learning Engineer based in Belgrade with 17 years of experience applying Python, statistics, and data science to real-world problems. He progressed from web and systems development through consulting and founding a Linux user group to senior data science roles, blending strong engineering foundations with practical ML deployment. At LoginEKO he led advanced analytics work before moving to his current ML role at Trentuna, and he has freelanced building data-mining solutions for stock trading and Google Ads. His academic background in mechatronics and robotics informs a systems-oriented approach to modeling and automation rarely seen in typical data roles. Marko combines NGO and international consulting experience with product-focused machine learning, making him adept at translating ambiguous requirements into robust, production-ready solutions. He is comfortable across the stack—from data pipelines to statistical modeling—and brings a pragmatic, research-informed mindset to applied ML.
16 years of coding experience
18 years of employment as a software developer
Engineer's degree, Mechatronics, Robotics, and Automation Engineering, Engineer's degree, Mechatronics, Robotics, and Automation Engineering at University of Belgrade, Faculty of Electrical Engineering
Dipl Ing, Electrotechnical and computing sciences, Dipl Ing, Electrotechnical and computing sciences at Electrotechnical School
English