Denis Orlov
AI Software Engineering Manager at Intel Corporation
Dublin, Ireland
Summary
🤩
Rockstar🎓
Top SchoolDenis Orlov is an AI software engineering manager based in Dublin with six years of industry experience and a long technical pedigree dating back to research roles in applied physics. At Intel he has progressed from lead engineer to manager, focusing on AI inference performance and backend systems for hardware accelerators. He is an active contributor to OpenVINO, notably enhancing the GNA plugin with multi-input support, runtime mode flexibility, and performance-focused fixes and tests. Denis blends deep scientific training (Master of Physics) with practical systems engineering, making him adept at translating complex algorithms into optimized production code. Colleagues describe him as a hands-on leader who still dives into low-level performance issues while steering team delivery and quality.
6 years of coding experience
27 years of employment as a software developer
Master of Physics, Master of Physics at State University of Nizhni Novgorod named after N.I. Lobachevsky (UNN)
Github Skills (8)
c-language10
inference10
cprogramming-language10
performance-optimization10
openvino10
deep-learning9
computer-vision8
testing8
Programming languages (4)
Github contributions (5)
openvinotoolkit/openvino
May 2020 - Nov 2022
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:165 reviews, 31 commits, 384 PRs in 2 years 5 months
Contributions summary:Denis primarily contributed to the GNA (Gaussian Neural Accelerator) plugin within the OpenVINO toolkit. Their work involved implementing support for features like multiple inputs, runtime execution mode changes, and resolving issues with callbacks. The user's commits also included optimizations, fixes, and enhancements within the GNA-specific components, including tests. These changes likely improved the performance and functionality of AI inference on Intel's hardware accelerators.
inference-enginepytorchmodel-optimizerdeep-learninggpu
dorloff/openvino
May 2020 - Feb 2025
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:72 pushes, 62 branches in 4 years 9 months
pytorchdeep-learningdeploymentopenvino-toolkitobject-detection
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