Fedor Kutsepin is a Senior QA Automation Engineer with 8 years of software experience and 6+ years focusing on Python-based test automation, CI/CD integration, and backend validation. He has a track record of designing scalable PyTest frameworks and infrastructure optimizations that cut manual testing by up to 75% for Intel libraries and improved delivery efficiency on OpenVINO/NNCF projects. Comfortable across DevOps and MLOps, he has validated AI models in production with OpenVINO and PyTorch and adapted test suites for high-profile open-source projects like openvinotoolkit/nncf. Based in Vilnius, he pairs a methodical engineering background (Master’s in Naval Architecture) with a pragmatic focus on using AI to make QA smarter and more cost-effective.
8 years of coding experience
19 years of employment as a software developer
Master's degree, Naval Architecture and Marine Engineering, Master's degree, Naval Architecture and Marine Engineering at Nizhniy Novgorod State Technical University named after R.Y. Alekseev (NSTU)
Neural Network Compression Framework for enhanced OpenVINO™ inference
Role in this project:
MLOps Engineer & QA Engineer
Contributions:11 reviews, 6 commits, 40 PRs in 1 year 5 months
Contributions summary:Fedor primarily focused on adapting and testing the `test_sota_checkpoints` test suite against an OpenVINO release candidate package. This involved modifying test scripts to accommodate the new package format, integrating model optimizer commands, and addressing potential issues related to the updated environment. The user's contributions included debugging, integrating necessary dependencies, and ensuring the correct execution of tests within the context of the OpenVINO framework. They also updated the `setup.py` file to include the `--all` install option and added new requirements.
Contributions:22 PRs, 36 pushes, 7 branches in 2 years 5 months
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