Mustafa Işık
Munich, Bavaria, Germany
Summary
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SeniorMustafa Isik is a research engineering leader with 11 years of experience specializing in diffusion models, neural rendering, digital humans and 3D graphics. Now managing research engineering at Synthesia, he has repeatedly shipped real-time neural renderers and ultra-fast facial trackers, including a 650 FPS 3DMM tracker and the HumanRF system showcased at SIGGRAPH. He combines deep research instincts with hands-on systems engineering—writing optimized CUDA/Triton kernels, integrating OptiX, and deploying models with TensorRT for state-of-the-art runtime performance. His background spans academia and industry with graduate work at TUM and ETH Zürich and impactful internships at Adobe (SIGGRAPH-published and patented denoising work). Known for modernizing interdependent codebases and building production data pipelines for large-scale video training, he bridges cutting-edge research and practical product delivery. Based in London, he favors projects that make digital humans more expressive and real-time capable, often squeezing extreme performance from constrained compute.
11 years of coding experience
Github Skills (14)
3d-reconstruction9
computer-graphics9
computer-vision8
cpp7
machine-learning7
cuda6
convex-hull5
3d5
usb4
python4
geometry4
geometry-processing3
pbrt2
physically-based-rendering2
Programming languages (3)
Github contributions (5)
isikmustafa/kinectfusion-cuda
Dec 2018 - Feb 2019
An efficient implementation of KinectFusion with modern C++ and CUDA.
Contributions:66 commits, 6 pushes, 1 comment in 2 months
cppcuda
isikmustafa/glue
Mar 2018 - Jul 2019
Contributions:152 commits, 82 pushes, 1 branch in 1 year 3 months
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