Keeran Rothenfusser is a software engineer with a PhD in Scientific Computation, blending deep numerical and mathematical expertise with hands-on systems engineering for HPC and telecom. He has driven optimized numerical libraries and performance tooling at Arm—translating multigrid and linear-algebra research into production-grade BLAS/LAPACK kernels and 5G PHY routines—and now extends that work to RISC-V at Rivos. Keeran combines C/C++, Python and Fortran fluency with practical experience in performance analysis, debugging and co-design across multiple Horizon 2020 exascale projects, where he also handles administrative and partner-facing responsibilities. Based in Munich, he brings a researcher's rigor to real-world optimization problems and a track record of turning algorithmic insight into measurable performance gains.
3 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Scientific Computation, Doctor of Philosophy (PhD), Scientific Computation at University of Leeds
Vector math library using RISC-V vector ISA via C intrinsic
Contributions:6 reviews, 5 PRs, 2 pushes in 2 years
risc-vvector-math
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