Alexander Ustyuzhanin is a Computer Vision Research Engineer with 12 years of experience combining rigorous academic training (MSU, MS with honors) and hands-on R&D in generative vision models and inertial navigation. Currently at Yandex, he focuses on generative modeling for computer vision, building on prior work at Huawei estimating pose from IMU sequences and teaching deep learning seminars at Imperial College London. He has strong DevOps and CI/CD chops demonstrated by meaningful contributions to Yandex’s popular REP machine learning toolbox—improving Docker setups and secure notebook environments. Analytical, detail-oriented, and versed in both research and production pipelines, he brings a rare blend of applied mathematics, systems engineering, and reproducible ML practice.
Contributions:297 commits, 17 PRs, 67 pushes in 1 year 3 months
Contributions summary:Alexander focused on improving the Docker setup and environment of the project, splitting the Docker image and adding SSL support to the Jupyter notebook configuration. They updated the `run.sh` script with modifications, including the use of `bash` instead of `sh`, and made changes to the build and deployment process. Moreover, the user linked the REP_howto directory and updated the `ci/install-conda-env.sh` script, indicating active involvement in CI/CD pipeline maintenance and environment configuration.
Contributions:29 commits, 24 PRs, 27 pushes in 7 months
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Alexander Ustyuzhanin - Computer Vision Research Engineer at Yandex