Pavel Plyusnin

Data Scientist
Pavel Plyusnin

Pavel Plyusnin

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CV

Related experience

  • Sept. 2021 - now
    Huawei
    senior researcher / engineer

    Developing new SOTA neural net quantization approaches

  • Sept. 2019 - now
    Department of Informatics, MIPT
    assistant lecturer

    Twice led one-year «Advanced Python object-oriented programming» course for third-year students, conducted refresher training and recorded online course on machine learning

  • Sept. 2019 - Sept. 2021
    ABBYY
    software developer in the Deep Learning Group Department

    Developed and introduced a country detector and a language detector into the product

  • Sept. 2018 - now
    CulturALL Reboot
    course instructor

    Taught twice the "(Anti)soft skills (de)design office" course, and also developed and conducted six times my own course "Word improvisation"

  • July 2018 - Sept. 2018
    Sberbank
    Intern data scientist

    Developed a methodology for assessing data quality and conducted IT-validation of ML models

  • 2015-2016
    ILab (Intel & MIPT)

    Coded a compiler for my own programming language and optimized it to work on my processor

Scientific activity

NeurIPS 2021
planned report

«Expanding the application of trained image recognition neural networks for new data and classes»

SMILES 2020
research poster

«Iterative methods for the topic balancing problem»

Yandex NLP Week 2019
participant

«A Guided Walk Through the ZOO of Stochastic Gradient Descent Method»
participant

Feedback from managers

Konstantin Vorontsov
Professor of the Russian Academy of Sciences, Dr. Sc. (Phys.-Math.), Head of the Machine Intelligence Laboratory at MIPT

During his studies, Pavel Plusnin proved to be a responsible, conscious and interested student. He is distinguished by his ability to work productively and independently.

Dmitriy Kropotov
Senior Researcher, FCS HSE

During his studies Pavel has proved to be a capable, responsible and purposeful student, striving to constantly improve his level of knowledge. The most of the laboratory work on the course was done by him for a full score or even with an optional bonus part.

Alexander Berezinskiy
Sberbank Executive Director

Pavel worked under my supervision in the summer of 2018. I am fully satisfied with his work: all the tasks were performed with high quality and on time. We would be happy to continue working with Pavel after his internship.

Numbers

0

conducted courses

0/10

GPA

0

full years of practical experience in machine learning

0

additional courses passed