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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 7 years
- Machine Learning 16 years
Other skills
- Matlab 8 years
- OpenCV 6 years
- C++ 5 years
Selected experience
Employment
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:
- Technologies:
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.
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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