Vladimir Larin

Data Scientist

https://talent.gravityer.com/vladimir-larin

Open Data Science

Key Strengths

Extensive personal project experience in Natural Language Processing (NLP) and Machine Learning, particularly with Transformer models (ruDialoGPT, ruberta, ruGPT2, transformers-ru).
Demonstrated practical application of deep learning frameworks and models.
Experience with Kaggle competitions indicates problem-solving skills in data science contexts.
Proficiency in Python, Cuda, and C++ relevant for data science and machine learning roles.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong independent drive and passion for data science, particularly in NLP. The focus on personal projects, including open-source contributions, suggests a self-starter who is keen on practical application and learning. However, the lack of diverse team-based project experience or detailed professional roles makes it difficult to fully assess cultural fit for collaborative environments. The single professional experience entry is current but lacks detail.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily in personal projects, and no psychometric or English test scores are available.

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Projects

viarize

May 10, 2022 – May 22, 2022

Viarize your video. Python script for making a VR180 video from your regular video.

View Project

VR180Video

April 14, 2022 – April 14, 2022

Unity VR180 stereo video test project

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wav2vec

December 13, 2021 – December 13, 2021

vq-wav2vec inference

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moface

September 20, 2020 – October 26, 2020

Face Motion animation Blender addon.

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ruDialoGPT

February 12, 2020 – February 13, 2020

Training a Russian DialoGPT model.

View Project

ruGPT2

December 11, 2019 – July 12, 2021

Russian GPT2 model

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ruberta

October 7, 2019 – November 29, 2019

Russian RoBERTa

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transformers-ru

August 21, 2019 – February 3, 2020

A list of pretrained Transformer models for the Russian language.

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sdsj2018_lightgbm_baseline

September 26, 2018 – October 1, 2018

Sberbank Data Science Journey 2018 LightGBM Baseline

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kaggle

March 15, 2016 – May 2, 2019

Solutions from some kaggle competitions.

View Project

Key Strengths

Extensive personal project experience in Natural Language Processing (NLP) and Machine Learning, particularly with Transformer models (ruDialoGPT, ruberta, ruGPT2, transformers-ru).
Demonstrated practical application of deep learning frameworks and models.
Experience with Kaggle competitions indicates problem-solving skills in data science contexts.
Proficiency in Python, Cuda, and C++ relevant for data science and machine learning roles.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily in personal projects, and no psychometric or English test scores are available.

Vladimir Larin

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit