Dmitry Monakhov is a seasoned software engineer with 14 years of deep Linux kernel, filesystem and HPC experience, now focused on LLM training and GPU/interconnect optimization at Poolside.ai in Berlin. His background includes long-running kernel and Ext4-fs work—authoring online defragmentation and coordinating OpenVZ integrations—plus storage and block-layer design for container and VM platforms. He has driven accelerated platform efforts at AWS and high-performance networking (InfiniBand) and GPU stacks across Yandex and Virtuozzo, bridging low-level kernel code with large-scale compute infrastructure. Known for pragmatic systems thinking, he combines kernel-level precision with practical optimizations for ML training pipelines, a mix that’s uncommon among ML infrastructure engineers.
14 years of coding experience
18 years of employment as a software developer
Moscow Institute of Physics and Technology (State University) (MIPT)
Contributions:71 pushes, 19 branches in 1 year 5 months
testingtesting-toolstest-automationtest-framework
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