Egor Duplenskii is an AI Frameworks Engineer based in Munich with 9 years of experience building and optimizing deep learning infrastructure, currently driving framework and inference performance at Intel. He specializes in back-end performance engineering—particularly CPU inference optimizations—and has contributed notable fixes and benchmark improvements to the widely used open-source OpenVINO toolkit, including bfloat16 precision support and sanitization-build fixes. Prior to Intel he spent seven years as a software engineer at MERA and holds a Master's in Computer Science, giving him a solid foundation in systems and software engineering. Known for pragmatic, low-level improvements that yield measurable speed and reliability gains, he blends research-aware thinking with production-grade implementation.
9 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Nizhniy Novgorod State Technical University named after R.Y. Alekseev (NSTU)
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer & Performance Engineer
Contributions:1146 reviews, 64 commits, 253 PRs in 1 year 10 months
Contributions summary:Egor's contributions primarily focused on optimizing the OpenVINO toolkit's CPU performance. Their commits involved disabling and re-implementing optimizations for CPU-related components. The user also implemented fixes for sanitization builds, which improved the resolving of library symbols. Additionally, they contributed to improvements in benchmark applications to enable the precision of bfloat16.
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Egor Duplenskii - AI Frameworks Engineer at Intel Corporation