Vitaliy Urusovskij
AI Frameworks Engineer at Intel Corporation
Dubai, Dubai, United Arab Emirates
Summary
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RockstarVitaliy Urusovskij is an AI Frameworks Engineer based in Dubai with seven years of experience building and hardening OpenVINO, Intel’s open-source toolkit for AI inference. At Intel he progressed from test intern to engineer, specializing in integration and stress-testing frameworks that improve reliability and GPU support for large-scale inference workloads. He combines backend engineering with practical tooling—adding parallel download capabilities, memory-check comparison scripts, and database-integrated test reporting—to make precommit and CI pipelines more robust. Comfortable working close to core testing components, he brings a pragmatic focus on reproducible performance and leak detection that often goes unnoticed but materially reduces production risk.
7 years of coding experience
4 years of employment as a software developer
Github Skills (6)
performance-testing10
python10
testing10
cprogramming-language9
c-language9
git7
Programming languages (2)
Github contributions (5)
openvinotoolkit/openvino
May 2020 - Jan 2023
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Back-end Engineer
Back-end EngineerContributions:1643 reviews, 107 commits, 554 PRs in 2 years 8 months
Contributions summary:Vitaliy contributed to the stress tests by adding parallel downloads to improve testing capabilities. They also modified and added scripts to manage and compare memory check results, incorporating features like database integration and the comparison of multiple runs. Furthermore, they introduced a new script to compare memory check runs and added functionalities to enable running StressMemleaksTests on GPUs within the precommit scope. These changes involved working on core testing components, adding functionality for parallel operation and GPU support.
inference-enginepytorchmodel-optimizerdeep-learninggpu
vurusovs/openvino
May 2020 - May 2024
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:3 PRs, 920 pushes, 269 branches in 4 years
pytorchdeep-learningdeploymentopenvino-toolkitobject-detection
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