Vladimir Larin is an ML engineer based in Moscow with 11 years of software development experience spanning web, Java, Python/C++, and machine learning engineering. He has been building production ML solutions at Sberbank since 2016, drawing on earlier roles in backend and web development at Inventos, Marathon Bookmaker, and Stork. Vladimir blends strong engineering foundations with practical data science practice—his Kaggle presence suggests active engagement with real-world modeling and competitions. Educated in information management in France and with technical roots from OrelSTU, he combines cross-cultural training with deep hands-on coding. Colleagues would describe him as a pragmatic problem-solver who moves models from prototype to production within large enterprise contexts. He brings an uncommon continuity across legacy systems and modern ML stacks, making him effective at integrating new models into established infrastructure.
11 years of coding experience
13 years of employment as a software developer
Gestion de l'information, Gestion de l'information at Université de Technologie de Troyes
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