Ekaterina Aidova
Старший Член Технического Персонала at Cerebras Systems
Nizhniy Novgorod, Nizhniy Novgorod, Russia
Summary
🤩
Rockstar🎓
Top SchoolEkaterina Aidova is a senior technical staff member with 9 years of experience specializing in backend engineering and machine learning infrastructure, now at Cerebras Systems after a long tenure at Intel. She has deep practical expertise in the OpenVINO ecosystem—contributing to its Python API, PyTorch frontend support, and custom evaluators in the high-profile open_model_zoo—demonstrating skill in tensor handling, type robustness, and model evaluation. Her work bridges ML model adaptation and production-ready inference tooling, including device integration and notebook developer experience improvements. A High School of Economics graduate with top academic performance (Master’s 9.8), she blends rigorous theoretical grounding with hands-on contributions to widely used open-source AI toolkits. Colleagues can rely on her to untangle tricky dequantization and data-type issues and to implement pragmatic features like pixel_unshuffle and new classification adapters that make models more robust in real deployments.
8 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, 9.8, Master's degree, Computer Science, 9.8 at Higher School of Economics
Github Skills (18)
debugging10
pytorch10
debug10
python10
image-processing10
tensorrt10
machine-learning10
inference10
text-classification10
openvino10
ml10
deep-learning10
tensorflow10
ai10
tensor10
Programming languages (4)
Github contributions (5)
openvinotoolkit/openvino_notebooks
Nov 2022 - Jan 2023
📚 Jupyter notebook tutorials for OpenVINO™
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:1333 reviews, 76 commits, 2269 PRs in 2 months
Contributions summary:Ekaterina's contributions primarily focused on adding new features and debugging existing ones. They also contributed to the implementation of device widget to notebooks part2. The code differences include modifications to existing code and dependencies, suggesting improvements to existing codebase.
deep-learningjupyter-notebooknotebookinferencecomputer-vision
openvinotoolkit/open_model_zoo
May 2019 - Jan 2023
Pre-trained Deep Learning models and demos (high quality and extremely fast)
Role in this project:Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:2036 reviews, 1297 commits, 2397 PRs in 3 years 8 months
Contributions summary:Ekaterina's contributions appear to center on the tools/accuracy_checker/custom_evaluators directory of the open_model_zoo repository, which suggests a focus on enhancing and evaluating deep learning models. The commits involved the development and enhancement of custom evaluators for image processing, text classification, text recognition, and related tasks, including the implementation of specific functionality like adding a new type of classification adapter. These tasks indicate expertise in applying and adapting models to specific tasks.
modelonnx-modelsdeep-learning-modelsmodel-zoopytorch-models
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.