Evgeny Shcherbakov
Performance Engineer at Arm
Austin, Texas, United States
Summary
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Top SchoolEvgeny Shcherbakov is a performance engineer with over 15 years of C++ and OOD expertise and a decade of technical leadership, currently focused on system and SoC performance at Arm in Austin. His career spans CPU/GPU heterogeneous profiling and server SoC performance modeling across AMD, Intel, NXP/Freescale and startups, combining hands-on emulation, hybrid simulation and tooling. He contributed backend improvements to ROCm’s HIP profiling generator—adding robust logging, error handling and API string/pointer formatting—which reflects a knack for practical tooling that makes low-level profilers more reliable. Evgeny blends deep modeling experience with software engineering discipline, frequently operating at the intersection of hardware behavior and production-grade code. Trained at MIPT in Computer Science and Electronics, he brings rigorous analytical roots to scalable performance analysis. Colleagues rely on him for turning complex microarchitectural ideas into testable, automatable performance validation.
7 years of coding experience
5 years of employment as a software developer
MS, Computer Science and Electronics Engineering, MS, Computer Science and Electronics Engineering at Московский Физико-Технический Институт (Государственный Университет) (МФТИ) / Moscow Institute of Physics and Technology (State University) (MIPT)
Github Skills (8)
code-generation10
python10
hip9
compiler9
cuda8
cua8
apidoc7
api7
Programming languages (4)
Github contributions (5)
ROCm/hip
Mar 2019 - Apr 2020
HIP: C++ Heterogeneous-Compute Interface for Portability
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 commits, 25 PRs, 10 comments in 1 year 1 month
Contributions summary:Evgeny primarily focused on enhancing the `hip_prof_gen.py` script, which appears to be a code generation tool for profiling functionalities within the HIP framework. Their work included adding features like verbose logging, error handling, and dependency management for header file regeneration. The user also fixed the code to support spaces after function names, and implemented API string generation and pointer formatting. Overall, their contributions focused on improving the profiling tool's functionality and robustness.
cudaheterogeneousgpuportabilityhip-runtime
ROCm/rocm-papi-component
Aug 2018 - Apr 2019
Contributions:6 commits, 9 pushes in 7 months
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