Petra Gospodnetić is a CTO and research-driven engineer with a decade of experience applying computer vision, computer graphics, machine learning and robotics to industrial inspection systems. She combines PhD-level research in physically based material surface synthesis with hands-on product development, enabling measurable improvements in defect visibility estimation and parameterized image acquisition. At Fraunhofer ITWM she progressed from intern to PhD student and inspection planning researcher, and now leads technology at Medabsy, bridging lab prototypes and deployable solutions. An active contributor to open-source rendering (notably appleseed where she implemented microfacet models and rigorous light-sampling tests), she brings strong numerical rigor and attention to stability. Based in Kaiserslautern, Petra is comfortable moving between simulation, virtual image processing and real-world robotics integration—a mix that helps shorten the path from novel algorithms to industrial impact.
10 years of coding experience
3 years of employment as a software developer
Master of Science in Information and communication technology, Image Processing, Master of Science in Information and communication technology, Image Processing at University of Zagreb Faculty of Electrical Engineering and Computing
Image processing in dental implantology - automated detection of teeth in CT images, 2nd place, Image processing in dental implantology - automated detection of teeth in CT images, 2nd place at Summer School of Image Processing, Szeged, Hungary
Doctor of Philosophy (PhD), Physically Based Material Surface Synthesis, Doctor of Philosophy (PhD), Physically Based Material Surface Synthesis at University of Kaiserslautern
A modern open source rendering engine for animation and visual effects
Role in this project:
Back-end Developer
Contributions:81 commits, 34 PRs, 1 push in 5 months
Contributions summary:Petra implemented and refined features related to microfacet theory and light sampling within the appleseed rendering engine. Their contributions included initial implementations of microfacet distribution functions (StdMDF class), alongside the implementation of key functions like G, G1 and lambda. Furthermore, they added the capability to utilize the STD MDF with a gamma parameter and included it in unit tests, including tests for ensuring numerical stability and accuracy.
Contributions:219 pushes, 42 branches, 1 comment in 7 years 7 months
renderingrendering-engineanimationvisual-effects
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