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  • Wildberries
  • Moscow
  • 15:09 (UTC +07:00)

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ssharkov03/README.md

Hello there ๐Ÿ‘‹

I'm a full stack Machine Learning Engineer with 4+ years experience. I'm interested in delivering valuable ML-based solutions of complex problems to business and customers. I mostly specialize at Computer Vision, but also have relevant experience at Multi-modality, NLP, Classical ML, GenAI. One of my research interests is robust learning for multi-modal language models.

Here is my resume

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  1. ru-speech-recognition ru-speech-recognition Public

    Module for russian speech recognition using NVIDIA Nemo.

    Python

  2. customer-churn-alphahack-2023 customer-churn-alphahack-2023 Public

    Repository containing our 1st place solution at Siberian Alpha Hack 2023 (customer churn prediction).

    Jupyter Notebook

  3. next_transaction_prediction next_transaction_prediction Public

    Next transaction prediction using LSTM, Masked Bert, GPT2, Mamba

    Jupyter Notebook 1

  4. group-videos-by-similarity group-videos-by-similarity Public

    Group dataset of videos by content similarity using Computer Vision tecniques.

    Python

  5. pytest-notifier-bot pytest-notifier-bot Public

    The implementation of asyncronous bot that notifies if local pytest failed.

    Python 1

  6. HousePricesAnalysis HousePricesAnalysis Public

    House Prices data analysis using Theory of Probability course knowledge and dataset from Kaggle. Trying to understand the data and make some conclusions.

    Jupyter Notebook