Sinisa Stekovic
Computer Vision Engineer at Snap Inc.
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 (24)
3d-reconstruction8
optimization8
computer-graphics8
gradient8
computer-vision7
deep-learning6
semantic-segmentation5
convolutional-neural-networks5
sparse5
pytorch5
annotations4
manifold4
3d4
rgb4
cuda4
Programming languages (2)
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 - Jan 2025
Contributions:83 pushes in 1 year 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.