Evgeny Lagutin
Machine Learning Engineer at SberDevices
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolEvgeny Lagutin is a machine learning engineer with nine years of experience specializing in audio and generative models, currently building production-ready text-to-speech, voice cloning and audio-LLM systems at SberDevices. He has bridged academic research and applied engineering through roles at HSE and MIPT, contributing to high-dimensional statistics, MCMC and generative modeling while teaching statistical learning courses. Past positions span computer vision and perception for consumer apps and autonomous driving, where he shipped GAN-based image-to-image systems and optimized models with TorchScript. Evgeny’s work emphasizes one-shot, real-time voice adaptation and integrating codecs with LLMs—an uncommon combination that underscores both signal-processing depth and system-level deployment experience. He graduated from MIPT and holds a master’s in Data Science from Skoltech with top grades, reflecting a strong theoretical foundation paired with hands-on product impact.
9 years of coding experience
5 years of employment as a software developer
Степень магистра, Data Science, 4.9, Степень магистра, Data Science, 4.9 at Skolkovo Institute of Science and TechnologyСтепень бакалавра, Интеллектуальный анализ данных, 4.95, Степень бакалавра, Интеллектуальный анализ данных, 4.95 at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Github Skills (14)
self-supervised-learning7
dialogue-systems6
arxiv5
emotion-recognition5
statistics5
speech-recognition4
foundation-models4
python4
pca3
pdf3
nlp-machine-learning3
deep-learning2
pytorch2
text-to-speech1
Programming languages (2)
Github contributions (5)
sverdoot/qp-wgan
Mar 2021 - Mar 2021
Contributions:29 commits, 21 pushes, 1 branch in 15 days
sverdoot/netgan-without-gan
Dec 2020 - Jan 2021
Contributions:26 commits, 1 PR, 21 pushes in 1 month
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