Daria Wojno
Infrastructure And DevOps Engineer at Intel Corporation
Gdańsk, Pomeranian Voivodeship, Poland
Summary
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Rockstar🎓
Top SchoolDaria Wojno is an Infrastructure and DevOps Engineer based in Gdańsk with six years of hands-on experience in production infrastructure, server administration, virtualization, and IT security. Currently at Intel, she progressed from a DevOps intern supporting global L3 environments to a full Infrastructure and DevOps Engineer, demonstrating strong troubleshooting, scripting, and Windows/Linux administration skills. Her open-source backend contributions to the high-profile OpenVINO toolkit show she can improve performance-critical AI inference components, particularly around RNN refactors and layer optimizations. With a formal background in network engineering and telecommunications, she combines infrastructure reliability with low-level systems understanding—often surfacing subtle performance and compatibility fixes that benefit large-scale deployment.
5 years of coding experience
2 years of employment as a software developer
Technician Telecommunications, Technician Telecommunications at Zespół Szkół Łączności im. Obrońców Poczty Polskiej w GdańskuInżynier (Inż.) Engineer - Network engineering, Inżynier (Inż.) Engineer - Network engineering at Uniwersytet WSB Merito Gdańsk
Github Skills (9)
c-language10
inference10
cprogramming-language10
openvino10
optimization10
ai9
deeplearning-ai9
deep-learning9
computer-vision9
Programming languages (5)
Github contributions (5)
openvinotoolkit/openvino
Jun 2020 - Jan 2023
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Role in this project:
Backend Developer
Backend DeveloperContributions:220 reviews, 35 commits, 104 PRs in 2 years 8 months
Contributions summary:Daria primarily contributed to the OpenVINO toolkit by modifying and extending its functionality, including refactoring RNN-related code and implementing various features. The commits show code changes related to the Interpolate and MVN layers and other optimizations. The user's work directly impacts the performance and capabilities of the OpenVINO toolkit by addressing critical issues and expanding its feature set.
inference-enginepytorchmodel-optimizerdeep-learninggpu
DariaMityagina/openvino
May 2020 - Jul 2024
OpenVINO™ Toolkit - Deep Learning Deployment Toolkit repository
Contributions:4 PRs, 606 pushes, 146 branches in 4 years 2 months
pytorchdeep-learningdeploymentopenvino-toolkitinference
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