Vladimir M.

Machine Learning Engineer

Computer vision and Machine learning research scientist with 10 years of experience and holds a Ph.D. in applied Machine Learning.

He is currently developing a novel Facial Expression Recognition system to understand human behavior at EyeSee.

Previously, he worked within a Camera Team for ADAS, Continental, and was responsible for developing 3D Reconstruction, Calibration, and Camera Blockage software modules.

In addition, he was an entrepreneurial Post-Doc (2 years), Associate Professor, and Vice-Dean.

Main expertise
  • PyTorch 3 years
  • Python
    Python 7 years
  • Machine learning
    Machine learning 16 years
Other skills
  • Matlab
    Matlab 8 years
  • OpenCV
    OpenCV 6 years
  • C++
    C++ 5 years
Vladimir M.


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Selected experience


  • Computer Vision and Research Engineer

    Continental - 1 year

    • Designed software for self-driving trucks and cars.
    • Worked on the components for 3D reconstruction, SLAM, Calibration, and Camera Blockage.
  • Machine Learning and Computer Vision Engineer

    Eyesee - 1 year

    Development of the Facial Coding expert system to decipher human behavior. The solution is used by clients worldwide, such as Microsoft, Twitter, etc..


    • Technologies:
    • Machine learning Machine learning
  • Associate Professor and Vice Dean

    Singidunum University - 2 years 2 months

    • Teaching: He taught Data Science, Machine Learning, and Computer Vision/Deep Learning courses.
  • Post-Doc Innovation Mandate

    KU Leuven - 11 months

    • Was granted a post-doc grant from the Belgium government (11% acceptance);
    • Worked on the creation of a spin-off company.


  • Doctor Of PhilosophyApplied Machine Learning and Signal Processing

    KU Leuven · 2010 - 2014

  • MSc.Electrical Engineering

    University of Belgrade · 2007 - 2009

  • BSc.Electrical Engineering

    University of Belgrade · 2003 - 2007

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