Tetiana Lesiuk
Senior Java Software Engineer at EPAM Systems
Ukraine
Summary
🤩
Rockstar🎓
Top SchoolTetiana Lesiuk is a Senior Java Software Engineer with over a decade of professional experience and eight years of commercial development across web and desktop applications. Currently at EPAM Systems, she combines strong OOP, algorithms, and design-pattern foundations with a pragmatic preference for proven libraries and best practices to deliver scalable, maintainable systems. She has experience leading teams and shipping production Java solutions across industries—from SSO and energy-management platforms to large consumer and enterprise systems. Beyond Java backend work, Tetiana contributes to the open-source OpenVINO toolkit, implementing and testing GPU kernels and operations that help optimize AI inference—an uncommon crossover for a Java-focused engineer. Known as an open-minded collaborator and efficient problem-solver, she favors clear, easy-to-understand code that balances performance with readability. Based in Ukraine, she brings both hands-on engineering depth and practical leadership to complex technical projects.
4 years of coding experience
8 years of employment as a software developer
master, master at National University 'Lviv Polytechnic'
Github Skills (13)
kernel10
computer-vision10
deeplearning-ai10
c-language10
deep-learning10
inference10
gpgpu10
cprogramming-language10
gpu10
ai10
openvino10
optimization9
mlops8
Programming languages (1)
Github contributions (3)
openvinotoolkit/openvino
Dec 2021 - Nov 2022
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
Role in this project:
ML Engineer
ML EngineerContributions:272 reviews, 16 commits, 27 PRs in 10 months
Contributions summary:Tetiana's contributions primarily involve implementing and testing GPU kernels and operations within the OpenVINO toolkit. Their work includes developing kernels for tasks such as random uniform generation, Gelu7 activation functions, ExperimentalDetectronTopKROIs, Einsum operations, ExperimentalDetectronGenerateProposalsSingleImage, adaptive max/avg pooling, ExperimentalDetectronPriorGridGenerator, Reverse operation, NMS-9 operation, and bucketize. The user also integrated support for blocked layouts into various operations.
inference-enginepytorchmodel-optimizerdeep-learninggpu
tgubanova-lohika/openvino
Nov 2021 - Nov 2022
OpenVINO™ Toolkit repository
Contributions:152 pushes, 18 branches in 11 months
pytorchdeep-learninggpuopenvino-toolkitcomputer-vision
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