Pavel Plyusnin

Pavel Plyusnin

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Related experience

  • Sept. 2021 - now
    Huawei
    senior researcher / engineer

    Leading a group of 5 researchers for Post Training Quantization (PTQ) of neural networks

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

    Four times 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 - Jan. 2023
    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

Conference speeches

Neuro-Set 2023
Founder

Founder of the Neuro-Set conference about neural networks and AI https://neuro-set.ru

PyCon 2023
Speaker

Data distillation for Zero-Shot Quantization https://clck.ru/39vQVh

Summer Merge 2023
Speaker

Building motivation and habits https://clck.ru/39vQGU

ODS DataFest 2023
Speaker

Quantization Aware Training https://clck.ru/39vQAN

DUMP 2023
Speaker

The evolution of Large Language Models (LLMs) https://clck.ru/39vQ5F

DataStart 2022
Speaker

An overview of the current Contrastive Learning methods: https://clck.ru/32pwoY

Summer Merge 2022
Speaker

How Machine Learning Principles Shape Our Minds: https://clck.ru/33YmR7

SMILES 2020
research poster

«Iterative methods for the topic balancing problem»: https://clck.ru/33YmSq

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

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conducted courses

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conference speeches

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full years of practical experience in machine learning

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additional courses passed