Sinisa Stekovic
Paris, Ile-de-France, Austria
Summary
👤
Senior🎓
Top SchoolSinisa Stekovic is a computer vision engineer with nine years of experience specializing in machine learning for 3D scene understanding, particularly 3D room layout estimation. He combines academic rigor from a PhD and postdoctoral work at Technische Universität Graz and École des ponts with industry experience at Meta and Snap, moving research prototypes toward real-world applications. Based in Paris with Austrian origins, he has a track record of bridging cutting-edge research and product needs, from internships at major labs to ongoing engineering at Snap. His work emphasizes practical 3D spatial reasoning and scene-level geometry, and he often focuses on the less obvious challenges of dataset bias and real-world sensor variability when adapting models for deployment.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Computer Vision and Computational Intelligence, with distinction, Master's degree, Computer Science, Computer Vision and Computational Intelligence, with distinction at Technische Universität Graz
Serbian, English, German, Slovenian, Croatian, french (basics)
Github Skills (32)
gradient10
ai9
optimization9
3d-reconstruction9
blender8
computer-graphics8
machine-learning8
robotics7
convolutional-neural-networks7
3d7
computer-vision7
deep-learning6
multiclass-classification5
projective-geometry5
pytorch3d5
Programming languages (3)
Github contributions (5)
vevenom/MonteScene
May 2022 - Jul 2022
Contributions:53 commits, 10 pushes, 1 comment in 1 month
vevenom/vevenom.github.io
Nov 2023 - Oct 2025
Contributions:89 pushes in 1 year 11 months
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