Maxim Kurin is an AI software engineer based in Leixlip, Ireland with six years of experience building and optimizing inference backends for edge hardware. At Intel he contributes to the OpenVINO open-source toolkit, focusing on the VPU backend where he implements low-level kernel optimizations and fixes for operations like binary convolution and GatherND to improve on-device performance. He has hands-on experience across compiler and firmware version updates, showing care for build compatibility and hardware-aware deployment. Maxim combines systems-level thinking with practical performance tuning, making him effective at bridging algorithmic models and real-world embedded constraints. Notably, his open-source contributions impact a widely used AI deployment project, underscoring both technical depth and commitment to production-grade tooling.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Backend Engineer
Contributions:41 reviews, 10 commits, 23 PRs in 5 months
Contributions summary:Maxim primarily contributed to the OpenVINO toolkit's VPU (Vision Processing Unit) backend, focusing on low-level optimizations and feature implementations. Their work included fixing and optimizing kernels for binary convolution operations and the GatherND layer, which is crucial for efficient AI inference on edge devices. Furthermore, the user updated the compiler and firmware versions related to the VPU, demonstrating involvement in the build process and ensuring compatibility with the latest hardware.
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Maxim Kurin - AI Software Engineer at Intel Corporation