Research Scientist Intern at University of Karlsruhe
Karlsruhe, Baden-Württemberg, Germany
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Summary
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Senior
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Top School
Mikhail Dereviannykh is a research-focused graphics engineer and PhD candidate at KIT who blends deep academic work in neural rendering with a decade of production graphics and R&D experience. He has driven real-time global illumination and path-guiding systems in shipping engines at Eagle Dynamics and scaled neural approaches for probe-based GI to sub-millisecond updates using GPU-optimized networks. Currently interning at Meta and Stability AI on end-to-end neural rendering and world models, he brings hands-on expertise in CUDA, Vulkan, PyTorch and TinyCudaNN alongside collaboration with major GPU vendors. A former CTO and game developer, he combines applied systems engineering with research rigor and a track record of publishing and presenting at venues like Eurographics. Notably, his work spans both low-level performance tuning and cutting-edge neural scene representations, positioning him to bridge academic innovation and real-time production constraints.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Graphics, Doctor of Philosophy - PhD Computer Graphics at Karlsruhe Institute of Technology (KIT)
Bachelor's of Software Engineering Software Engineering, Bachelor's of Software Engineering Software Engineering at Higher School of Economics
Contributions:15 commits, 11 pushes, 1 branch in 2 years 1 month
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Mikhail Dereviannykh - Research Scientist Intern at University of Karlsruhe