Milutin Cerovic
AI Team Lead at Everseen
Belgrade, Central Serbia
Summary
👤
Senior🎓
Top SchoolMilutin Cerovic is an AI Team Lead in Belgrade with a decade of experience building and deploying machine learning and computer vision systems for fraud detection and large-scale document analysis. He leads R&D teams at Everseen, translating research-grade neural networks into production-ready automated product-scanning and anti-fraud solutions. Comfortable across Python and Java, Milutin combines hands-on model design with systems engineering—real-time scanning, secure big-data pipelines, and robust text extraction from diverse file formats. He also taught an advanced machine learning course, reflecting a habit of turning complex theory into practical tools. Quietly ambitious, he pairs a strong academic foundation (Master's/ Bachelor's in Computer Science) with a track record of shipping high-impact applied research in commercial settings.
10 years of coding experience
2 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Računarski fakultetBachelor's degree Computer Science, Bachelor's degree Computer Science at Faculty of Mathematics, University of BelgradeHigh school diploma Computer Science, High school diploma Computer Science at Computer Science Grammar School
English, Serbian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
logistic-regression8
linear-regression8
tensorflow5
machine-learning5
algorithms5
deep-learning4
python4
Programming languages (2)
Github contributions (5)
mcerovic/MachineLearning
Feb 2018 - Aug 2018
This repository contains code examples of Machine Learning and Deep Learning algorithms written in Python using TensorFlow library for the course Machine Learning on Faculty of Computer Science in Belgrade.
Contributions:34 commits, 6 PRs, 23 pushes in 5 months
deep-learningmachine-learningpythontensorflowlinear-regression
mcerovic/mcerovic.github.io
Oct 2016 - Jun 2017
Contributions:26 pushes, 1 branch in 7 months
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