Vladimir M.

Machine Learning Engineer

Experienced Computer Vision and Machine Learning Research Scientist with 10 years of experience.

Vladimir is a Computer Vision and Machine Learning Research Scientist with a ten-year experience, who holds a PhD in applied Machine Learning.

Currently, he is developing a novel Facial Expression Recognition system to understand human behavior at EyeSee.

Previously, he has worked within a Camera Team for ADAS, Continental, being responsible for the development of 3D Reconstruction, Calibration and Camera Blockage software modules.

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

Main expertise

  • Machine learning 16 years
  • Python Python 7 years
  • PyTorch PyTorch 3 years

Other skills

  • Matlab Matlab 8 years
  • OpenCV OpenCV 6 years
  • C++ C++ 5 years
Vladimir

Vladimir M.

29.90 € hourly

Serbia

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Selected experience

Employment

  • Computer Vision and Research Engineer

    Continental - 1 year

    • Designing a software for self-driving trucks and cars.
    • Working 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 the human behavior. The solution is used by a world-wide known clients, such as, Microsoft, Twitter etc.

    Technologies:

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

    Singidunum University - 2 years 2 months

    • Teaching: Data Science, Machine Learning and Computer Vision/Deep Learning courses.
    • Was a Vice-Dean and supervised teaching activities for 500 Software and Data Engineering students.
  • Post-Doc Innovation Mandate

    KU Leuven - 11 months

    • Was granted a post-doc grant from Belgium government (11% acceptance).
    • Together with an industrial mentor I worked on the creation of a spin-off company. - The final product was a software developed in my research group
  • Intern

    Scientific Institute Mihailo Pupin - 4 months

    Working on the final diploma thesis: “Acoustic echo cancellation using adaptive filters”.

  • Intern

    Hilti AD - 10 months

    Developing algorithms for signal processing and systems control within Novel Mechatronic Department.

Education

  • 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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