Viktor Khaymonenko is a Senior Machine Learning Engineer with eight years of experience, currently driving ML efforts at Yandex after progressing from intern to senior roles. Trained at MIPT and now pursuing a master's at HSE, he blends strong academic foundations with practical experience in production ML. His background includes applied analytics at Tinkoff, hackathon wins and Kaggle practice, and a penchant for model simplicity hinted by his GitHub handle "overregularized perceptron." Comfortable moving models from prototype to production, he focuses on robust, generalizable solutions rather than overfitting to benchmarks. Based in Moscow, he brings a pragmatic researcher’s mindset to large-scale engineering problems.
8 years of coding experience
2 years of employment as a software developer
Бакалавр технических наук, Бакалавр технических наук at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Магистр технических наук, Магистр технических наук at Высшая Школа Экономики
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