Pavel Kumbrasev
Software Engineer at Amazon Web Services (AWS)
Dublin, Ireland
Summary
🤩
Rockstar🎓
Top SchoolPavel Kumbrasev is a software engineer with eight years of experience focused on high-performance concurrent systems and middleware, currently working at AWS after leading middleware efforts at Intel. He contributed to the oneAPI Threading Building Blocks (oneTBB) core—improving synchronization primitives, thread management, and real-time support—demonstrating deep expertise in multithreading, memory models, and debugging with tools like ThreadSanitizer. Pavel has redesigned libraries for partial real-time support and built tooling and infrastructure for performance measurement and multithreaded debugging. His background includes refactoring concurrent containers and developing scalable benchmarking infrastructure during academic and internship roles, showing a consistent focus on pushing performance and reliability boundaries. Based in Dublin, he combines low-level C++ systems craftsmanship with practical engineering for production-grade libraries. Colleagues would note not only his technical depth but also an ability to translate concurrency research into robust, maintainable code.
8 years of coding experience
6 years of employment as a software developer
Бакалавр, Computer Software Engineering, Бакалавр, Computer Software Engineering at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Github Skills (12)
parallel-processing10
tbb10
c-language10
threaded10
parallel10
cprogramming-language10
thread10
hyper-threading10
multithreading10
parallel-execution10
concurrency10
synchronization10
Programming languages (6)
Github contributions (5)
uxlfoundation/oneTBB
May 2021 - Jan 2023
oneAPI Threading Building Blocks (oneTBB)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:411 reviews, 68 commits, 139 PRs in 1 year 8 months
Contributions summary:Pavel primarily contributes to the core threading building blocks of the oneTBB library. Their work includes improving synchronization mechanisms, thread management, and the overall performance and stability of the library's core components. The commits demonstrate a deep understanding of multithreading, memory models, and concurrent programming techniques. The user's contributions are focused on improving the efficiency and reliability of the oneTBB library.
composabilitymultithreadingflowgraphbuilding-blocksparallel
TheG1uy/openvino-dl-benchmark
Dec 2018 - May 2020
Deep learning benchmark based on Intel Deep Learning Deployment Toolkit from OpenVINO toolkit [https://software.intel.com/en-us/openvino-toolkit]
Contributions:178 pushes, 26 branches in 1 year 5 months
pytorchdeep-learningdeploymentopenvino-toolkitobject-detection
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