Visual Cloud Technology Expert at Intel Corporation
Nizhny Novgorod, Nizhny Novgorod Oblast, Russia
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Summary
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Senior
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Top School
Victoria Zhislina is a Visual Cloud Technology Expert and seasoned engineering leader with decades of experience across Intel and Huawei, specializing in performance optimization, multi-core programming, and graphics/visualization systems. She has led teams and developer evangelism efforts for high-profile vendors and projects—from porting ARM code to x86 SIMD optimizations to creating a unique MPEG4 synthetic video player and Intel facial animation libraries. At Huawei she now focuses on cloud GPU performance while continuing to author and edit technical content for major Russian developer communities. Her open-source contributions include precision fixes and optimizations translating ARM NEON intrinsics to x86 SSE/AVX, reflecting a low-level systems expertise that complements her developer-facing leadership. Trained as a physicist, she combines rigorous analytical thinking with hands-on software craft and a talent for turning complex multimedia and performance problems into practical, production-ready solutions.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science, General and Applied Physics faculty; Laser Physics, Bachelor of Science, General and Applied Physics faculty; Laser Physics at Nizhny Novgorod State University
Master of Science, Physics, Master of Science, Physics at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
The platform independent header allowing to compile any C/C++ code containing ARM NEON intrinsic functions for x86 target systems using SIMD up to AVX2 intrinsic functions
Role in this project:
Back-end Developer
Contributions:36 commits, 30 PRs, 54 pushes in 5 years 7 months
Contributions summary:Victoria primarily contributed to improving the `NEON_2_SSE.h` header file, which translates ARM NEON intrinsics to x86 SSE instructions. Their work involved fixing bugs related to floating-point exceptions and ensuring the correct behavior of conversion functions. The user also optimized and fixed issues within the comparison functions of unsigned 8- and 16-bit data types.
Welcome to the GitHub repo for the SVT-AV1 encoder! To see a list of feature request and view what is planned for the SVT-AV1 encoder, visit our Trello page: http://bit.ly/SVT-AV1 Help us grow the community by subscribing to our SVT-AV1 mailing list! http://bit.ly/svt-av1-mailing
Contributions:2 PRs, 28 pushes in 1 year
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Victoria Zhislina - Visual Cloud Technology Expert at Intel Corporation