Andrey Savchenko is a seasoned researcher and teacher with nine years of professional experience at the intersection of statistical pattern recognition and computer vision. He combines an academic career as professor and docent at the Higher School of Economics with industrial leadership as Scientific Director of Sber AI Laboratory and former Project Leader at Samsung-PDMI AI Center. His work spans ML research, PyTorch model development and practical systems for face and emotion recognition—authoring the EmotiEffLib library used for efficient emotion detection in photos and video. Andrey’s background as a mathematician and systems programmer gives him a rare blend of theoretical depth and production-minded engineering. He is based in Moscow and is known for turning academic research into applied AI products and open-source tools.
9 years of coding experience
Диплом специалиста по инженерной специальности, Математик. Системный программист, Диплом специалиста по инженерной специальности, Математик. Системный программист at Нижегородский Государственный Технический Университет им. Р.Е.Алексеева (НГТУ)
Efficient face emotion recognition in photos and videos
Role in this project:
ML Engineer
Contributions:6 releases, 69 commits, 1 PR in 1 year 9 months
Contributions summary:Andrey's initial commit uploaded the core code for an emotion recognition library. Subsequent commits show the implementation and usage of machine learning models, specifically in the context of emotion recognition from images. They worked on detecting faces and extracting features from video frames, focusing on the ABW4 challenge and showcasing skills in PyTorch model training and inference.
HSEmotionONNX python library for facial emotion recognition
Contributions:2 releases, 1 PR, 9 pushes in 1 year 3 months
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Andrey Savchenko - Teacher at National Research university Highe