Vladimir Nikolaev
R&D Computer Vision Engineer at Sberbank
Germany
Summary
🤩
Rockstar🎓
Top SchoolVladimir Nikolaev is an R&D Computer Vision Engineer with 11 years of experience building deep learning systems for biometrics, fraud detection, and aerospace applications. He has driven end-to-end projects from data collection and model design to production integration, notably accelerating flight-simulation components and automating image annotation workflows that cut manual markup from 30 minutes to one. His background spans practical ML in finance—where his churn-prediction work reduced profitable customer loss by 10%—to bespoke CV solutions that identify and track billboards and ads in video. Vladimir blends research-grade model innovation (custom CNN/ResDilation/Siam Mask and BiLSTM architectures) with pragmatic engineering that delivers measurable customer value. Based in Germany, he excels at coordinating cross-team requirements and turning complex simulation and sensor challenges into deployable, performance-improving models.
11 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Сomputer science and engineering, Bachelor's degree, Сomputer science and engineering at Moscow Aviation Institute (National Research University)
Github Skills (3)
python8
machine-learning6
data-science5
Programming languages (1)
Github contributions (5)
vladimir-nikolaev/ml-labs
Sep 2015 - Sep 2021
Contributions:9 pushes, 1 branch in 6 years 1 month
DeathCoil/kaggle
Nov 2015 - Oct 2019
Contributions:10 pushes, 1 branch in 3 years 11 months
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