Eduard Zamaliev
Senior Software Engineer at Huawei
Nizhniy Novgorod, Nizhniy Novgorod, Russia
Summary
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Rockstar🎓
Top SchoolEduard Zamaliev is a Senior Software Engineer with seven years of professional experience building deep learning and software systems, currently working at Huawei after senior roles at HARMAN and Intel. He has a strong background in computer vision model deployment and accuracy tooling, evidenced by contributions to the widely used open_model_zoo repository where he improved detection adapters and accuracy-checker tools. His career spans research and engineering, beginning with long-term researcher experience at RFNC-VNIIEF and progressing to applied deep learning roles that bridge R&D and production. Eduard combines hands-on Python backend development for ML pipelines with practical experience optimizing model accuracy and integration. Based in Nizhniy Novgorod, he pairs a solid academic foundation from Kazan State University with industry experience at major hardware and automotive tech companies. Colleagues would describe him as a pragmatic engineer who moves research-grade models toward reliable, production-ready deployments.
6 years of coding experience
12 years of employment as a software developer
Master's degree, Master's degree at Kazan State University
Github Skills (4)
python10
object-detection10
computer-vision10
deep-learning9
Programming languages (1)
Github contributions (5)
openvinotoolkit/open_model_zoo
May 2019 - Dec 2021
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:617 reviews, 571 commits, 87 PRs in 2 years 6 months
Contributions summary:Eduard's contributions focused on modifying Python code for the tools related to the accuracy checker within the open_model_zoo repository. This involved changes to files related to detection adapters, specifically within the tools/accuracy-checker directory, suggesting the user was working to improve the accuracy of existing deep learning models or add support for new models and architectures for object detection. The nature of the changes indicates involvement in deep learning model deployment, potentially focusing on computer vision tasks.
modelonnx-modelsdeep-learning-modelsmodel-zoopytorch-models
eizamaliev/open_model_zoo
May 2019 - Dec 2021
Pre-trained Deep Learning models and samples (high quality and extremely fast)
Contributions:7 PRs, 436 pushes, 191 branches in 2 years 6 months
pytorchdeep-learningpre-trainedhigh-qualitydeep-learning-models
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