Summary
Aleksei Marov is an AI algorithm engineer and GPU software developer based in Munich with nine years of experience building high-performance storage and kernel-level systems. He combines a PhD in coding theory and error-correcting codes with deep hands-on expertise in Linux kernel development, RDMA/InfiniBand storage stacks, NVMe/Flash RAID design, and SIMD/assembler optimizations. At Intel and IONOS he focuses on optimizing GPU kernels and RDMA transports for cloud-scale performance, having previously led R&D at RAIDIX where he delivered lockless datapaths, erasure coding, and scale-out block storage. He is notable for bridging rigorous academic research in coding theory with pragmatic, production-grade kernel engineering and performance tuning. Colleagues describe him as a problem-solver who surfaces subtle data-integrity issues and turns theoretical algorithms into deployable, high-throughput systems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Coding Theory, error correcting codes., Doctor of Philosophy (PhD), Coding Theory, error correcting codes. at Saint Petersburg State University
Russian, English