Oleg Kruglov is a Machine Learning Engineer based in Munich with three years of industry experience building high-performance ML and distributed graph systems. He combines a strong mathematical background from MSU with hands-on C++, Python and Scala engineering to optimize core algorithms and production libraries—at Intel he doubled K-Means performance on some datasets and extended oneDAL with incremental algorithm support. His prior research roles at Huawei and startups delivered dramatic speedups for subgraph matching and graph partitioning, and he has led small teams to turn prototypes into customer-ready systems. Comfortable across scientific research and production engineering, he brings rare depth in algorithmic optimization for both single-node kernels and large-scale Spark/GraphX pipelines.
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Oleg Kruglov - Machine Learning Engineer at Intel Corporation