Vadim Shiianov is a data scientist based in Munich with a decade of professional experience and 3+ years focused on end-to-end data science and ML system delivery. Currently at AutoScout24, he brings production-first ML practices while also teaching machine learning and improving course material at MIPT, bridging industry and academia. His background includes impactful work at Yandex's self-driving unit—where a spatially-masked neural network yielded a 5% improvement in pedestrian prediction—and inventive statistical solutions for soft404 detection from sparse data. Trained at MIPT and the Yandex School of Data Analysis, Vadim combines strong theoretical grounding with hands-on engineering (including earlier C++ systems work) to move models from research to reliable production. He has a knack for translating cross-format datasets and evaluating forecasting methods, an often-overlooked skill that smooths integration across proprietary and public benchmarks.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
Computer Science, Computer Science at Yandex School of Data Analysis
Repository for research experiments on ML research practice 2022 course
Contributions:7 reviews, 24 PRs, 91 pushes in 2 months
deep-learningmachine-learningdata-science
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