Kirill Shvets
Machine Learning Engineer at Intel Corporation
Neubiberg, Bavaria, Russia
Summary
🤩
Rockstar🎓
Top SchoolKirill Shvets is a Machine Learning Engineer with five years of experience optimizing classical and deep learning algorithms for Intel's Data Analytics Library and Intel-compatible hardware. He combines strong mathematical-statistics foundations with practical skills in batch, distributed, and online ML modes, delivering high-performance implementations and cluster-efficient solutions. At Intel he works directly with customers to add features and squeeze extra performance from hardware while integrating DAL with ecosystems like scikit-learn and TensorFlow. An active contributor to OpenVINO’s open_model_zoo, he implemented antispoofing model support and refined evaluation tooling—demonstrating attention to both model accuracy and production-ready integration. With a Master’s in Applied Mathematics and Informatics, he brings rigorous academic training to pragmatic engineering problems.
5 years of coding experience
Master's degree, Applied Mathematics and Informatics, Master's degree, Applied Mathematics and Informatics at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Github Skills (7)
cnn-model10
deep-learning10
modello10
openvino10
python9
inference9
computer-vision8
Programming languages (2)
Github contributions (5)
openvinotoolkit/open_model_zoo
Oct 2020 - Nov 2020
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Role in this project:
ML Engineer
ML EngineerContributions:6 reviews, 20 commits, 2 PRs in 15 days
Contributions summary:Kirill contributed to the implementation and integration of an antispoofing model within the accuracy checker tool, demonstrating expertise in model integration. They added an antispoofing converter and metric to the accuracy checker, likely to support evaluations of antispoofing models. The user also refined the code, addressing issues and making improvements to ensure the proper functioning of the antispoofing model evaluation.
modelonnx-modelsdeep-learning-modelsmodel-zoopytorch-models
kprokofi/light-weight-face-anti-spoofing
Jul 2020 - Mar 2021
towards the solving spoofing problem
Contributions:2 reviews, 159 commits, 3 PRs in 7 months
casiaanti-spoofingleetcodesolvinglcc-fasd
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