Petar S.

Machine Learning Engineer

A Machine Learning engineer with good knowledge of different programming languages.

Petar is a passionate researcher with 4+ years of working experience. He is a very responsible and hardworking person with good organizational skills.

Petar has worked on a wide variety of use cases as a Machine learning engineer, including Deep learning algorithms for Optical character recognition (OCR), Intelligent word recognition (IWR) for signature recognition, and recurrent neural network approach to improving the air quality index prediction.

Main expertise
  • Python
    Python 3 years
  • TensorFlow
    TensorFlow 2 years
  • Machine Learning
    Machine Learning 4 years
Other skills
  • PHP
    PHP 2 years
  • Laravel
    Laravel 2 years
  • Kubeflow
    Kubeflow 2 years
Petar S.


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Selected experience


  • Machine Learning Scientist

    Fleka - 1 year 1 month

    • Working on a machine-learning algorithm to create a smart image database.
    • Working on the implementation of Elasticsearch for the newspaper portals ”Pobjeda” and ”Analitika” and the official website of the Government of Montenegro.


    • Technologies:
    • Matlab Matlab
  • Software Developer

    Robot Code - 8 months

    • Worked on developing two information systems. One is for ordering and delivering food, while the other is for scheduling in beauty salons in Montenegro.


    • Technologies:
    • Python Python
  • Machine Learning Engineer

    Omnitech MNE - 1 year 5 months

    • Worked on a Machine Learning system on the SeVaRA project. SeVaRA integrates an R&D project aimed at defining an innovative system for the calculation of an aggregated environmental risk index derived from multiple parameters summarized in:
      1. risk of consequences of very short-term weather events;
      2. risk of the geo-location according to historical data;
      3. risk associated with instability of soil or manufactured goods.
  • Machine Learning Engineer

    Datum Solutions - 11 months

    • Developing a Machine Learning system about signature recognition;
    • Creating Deep Learning algorithms for Optical Character Recognition (OCR) and Intelligent Word Recognition (IWR).


  • MSc.Machine Learning

    Faculty of Electrical Engineering in Podgorica · 2011 - 2017

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