Ekaterina Derevyanka
Senior Computer Vision Researcher at Sberbank
Russia
Summary
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Senior🎓
Top SchoolEkaterina Derevyanka is a Senior Computer Vision Researcher with nine years of experience applying deep learning and classical ML to production and R&D problems across robotics, healthcare, retail and industrial automation. She holds a Ph.D. in Mechanics of Deformable Solids and an MSc in Applied Mathematics and Informatics, bringing rigorous mathematical modeling to practical vision systems built with Python, PyTorch and TensorFlow. At Sberbank she works on robotic perception and mobile manipulation, and previously led data science units and shipped edge SDKs for pose estimation, virtual try-on, and real-time ophthalmology monitoring at EPAM. Her background spans the full ML lifecycle—from dataset engineering and labeling to deployment on mobile and cloud—and she frequently mentors engineers and runs internal training programs. Colleagues value her blend of theoretical depth and hands-on product delivery, plus a knack for turning complex physical modeling problems into deployable vision solutions.
9 years of coding experience
6 years of employment as a software developer
Postgraduate Degree, 01.06.01 Mathematics and Mechanics - 1.1.8 Mechanics of Deformable Solids, Postgraduate Degree, 01.06.01 Mathematics and Mechanics - 1.1.8 Mechanics of Deformable Solids at Samara State Technical University
English, Russian, German, ChineseProgramming languages (1)
Github contributions (5)
ederev/awesome-mlops
Jul 2023 - Jul 2023
A curated list of references for MLOps
Contributions:2 pushes in 1 day
ederev/ml_course
Nov 2016 - Nov 2016
Contributions:13 pushes, 1 branch in 1 day
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