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

    Other skills

    • Python Python 3 years
    • PHP PHP 2 years
    • TensorFlow TensorFlow 2 years
    Petar

    Petar S.

    34.90 € hourly

    Montenegro

    Book Petar S.

    Selected experience

    Employment

    • 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:

      • Technologies:
      • ElasticSearch ElasticSearch
    • 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:

      • 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).
    • Full-stack Developer

      Fleka - 3 months

      • Developing web applications for a bank.
    • Machine Learning Researcher

      Faculty of Electrical Engineering - 1 year 6 months

      • Worked on various Machine learning systems. Some of his projects were Retinal blood vessel segmentation and Detection of Downy Mildew in Grapevine Leaves.

      Technologies:

      • Technologies:
      • Python Python
      • TensorFlow TensorFlow

    Education

    • MSc.Machine Learning

      Faculty of Electrical Engineering in Podgorica · 2011 - 2017

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