Raphaël Frantz is a PhD candidate and research-focused software engineer with nine years of experience in high-performance computing, parallelization, and computer vision, currently affiliated with NVIDIA and Eindhoven University of Technology. His work blends low-level optimization (CUDA, OpenMP, C++) with practical tooling and testing—deterministic pipelines, unit tests, and profiler-driven performance engineering—for VFX and 3D reconstruction problems. Past projects include accelerating texture synthesis for moving fluids, warp-synchronized k-d tree traversal for closest-point queries, and adapting MVSNet-based depth inference to constrained multi-camera rigs. Comfortable across Python and C++ ecosystems, he pairs research rigor with production-minded engineering, often structuring independent subprojects and CI-friendly builds to reduce coupling. Based in Reims, France, he brings an unusual mix of academic depth and industrial optimization experience that targets both algorithmic quality and measurable runtime gains.
8 years of coding experience
Master HPC, Master en ingénierie HPC, Master HPC, Master en ingénierie HPC at Université de Reims Champagne-Ardenne
Contributions:2 commits, 1 push, 1 branch in 1 year
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