Filip Ilic
Machine Learning Engineer at Snap Inc.
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolFilip Ilic is a machine learning engineer with nine years of hands-on experience in computer vision and deep learning, recently joining Snap Inc. after completing a PhD at TU Graz on motion’s role in action recognition. His research portfolio spans privacy-preserving video analysis, video object segmentation, denoising, implicit neural representations, and interpretable action recognition, and included a visiting researcher stint at York University. At TU Graz he translated research into applied systems—designing a full pipeline for steel defect detection from data acquisition to deployment—and earlier at CERN he built data quality tools for the CMS detector. Filip combines strong research rigor with production-oriented engineering, comfortable moving models from prototypes to reliable tooling. Based in Vienna, he brings a blend of academic depth and practical impact, with a track record of tackling both low-level signal tasks and high-level representation problems. A not-obvious asset: he pairs vision research with real-world quality-control and monitoring experience, making his work readily applicable to industry settings.
9 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Technische Universität Graz
English, German, Serbian
Github Skills (27)
favicon10
geometry9
visualization9
parallel9
mathematics9
statistics9
physics9
backbonejs9
social-media9
cling9
scientific-visualization8
python8
svg8
machine-learning8
interpreter8
Programming languages (5)
Github contributions (5)
f-ilic/AppearanceFreeActionRecognition
Jul 2022 - Jan 2023
Contributions:7 commits, 6 pushes, 3 comments in 6 months
f-ilic/SimulationHelper
Jul 2021 - Aug 2022
Logging framework with ML / Pytorch experiments in mind
Contributions:1 review, 4 commits, 1 PR in 1 year
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