I'm Matej Marić, a machine learning engineer based in Zagreb, Croatia. I build end-to-end CV/ML systems, from data pipelines and model training to production inference, with a focus on reliable, scalable solutions for real-world footage and imagery. Most recently I worked on a photography-detection system for a museum and on backend ML services for a retail app. I enjoy turning complex data problems into maintainable software, collaborating with cross-functional teams, and applying ML to wildlife monitoring and conservation as well as digital experiences.

Matej Marić

I'm Matej Marić, a machine learning engineer based in Zagreb, Croatia. I build end-to-end CV/ML systems, from data pipelines and model training to production inference, with a focus on reliable, scalable solutions for real-world footage and imagery. Most recently I worked on a photography-detection system for a museum and on backend ML services for a retail app. I enjoy turning complex data problems into maintainable software, collaborating with cross-functional teams, and applying ML to wildlife monitoring and conservation as well as digital experiences.

Available to hire

I’m Matej Marić, a machine learning engineer based in Zagreb, Croatia. I build end-to-end CV/ML systems, from data pipelines and model training to production inference, with a focus on reliable, scalable solutions for real-world footage and imagery. Most recently I worked on a photography-detection system for a museum and on backend ML services for a retail app.

I enjoy turning complex data problems into maintainable software, collaborating with cross-functional teams, and applying ML to wildlife monitoring and conservation as well as digital experiences.

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Experience Level

Expert
Expert
Expert
Expert

Language

Croatian
Fluent
English
Fluent
Chinese
Intermediate
German
Beginner
French
Beginner

Work Experience

Machine Learning Engineer at Museum of Hangovers
January 1, 2025 - March 1, 2026
Built a photography-detection system for a 16-camera museum setup, combining YOLO person/phone detection, pose estimation, ByteTrack, and homography mapping to place events on a shared floorplan, plus other CV-based solutions for camera footage analysis. Trained and tuned the event-classification stack: pose-feature extraction, XGBoost pose classifier, plus temporal voting and orientation logic to make detections usable on real footage.
Machine Learning Engineer at Megatrend d.o.o.
July 1, 2022 - November 1, 2024
Built and maintained backend ML services for a retail app where users capture store-shelf photos for item detection/classification. Improved model performance through dataset curation, annotation refinement, retraining, and systematic benchmark/evaluation comparisons. Researched and prototyped experimental features, then integrated selected improvements into production backend workflows.

Education

MSc in Computer Science at University of Zagreb, Faculty of Electrical Engineering and Computing
January 1, 2022 - January 1, 2026
BSc in Computer Science at University of Zagreb, Faculty of Electrical Engineering and Computing
January 1, 2018 - January 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Media & Entertainment, Software & Internet, Retail, Education, Other