Skip to content
View vlada-pv's full-sized avatar

Block or report vlada-pv

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
vlada-pv/README.md

Hello πŸ‘‹

Expo

I'm a budding Machine Learning Engineer with a keen interest in Natural Language Processing. I hold a Master's degree in Computational Linguistics (2024). Graduated from the MTS School of Data Analysts. Currently I am honing my skills by actively working with LLMs, developing agents, building RAG-systems, and fine-tuning models.

β–ŽπŸŒŸ Areas of Interest

β€’ Natural Language Processing (NLP) β€’ Machine Learning β€’ Deep Learning β€’ Large Language Models (LLMs) β€’ Model Fine-tuning and Development

β–ŽπŸŽ€ Talks Presentations

I recently gave a presentation related to NLP at a seminar from the Yandex laboratory and the Higher School of Economics, which you can check out here.

β–ŽπŸ“š Research Publications

You can find my academic work and publications on my ResearchGate profile.

β–ŽπŸ’¬ Let's Connect!

Feel free to reach out to me through my preferred communication channel (TG's profile). I'm always open to discussions, collaborations, and learning opportunities!

Thank you for visiting my profile!

Pinned Loading

  1. BERT-predict-text-rating BERT-predict-text-rating Public

    BERT-based model for text classification tasks.

    Jupyter Notebook

  2. CatBoost-Docker-Image CatBoost-Docker-Image Public

    The project contains a CatBoost model that makes predictions according to an uploaded csv file using a flask wrapper.

    Python

  3. EDA-Regression-MarketingData EDA-Regression-MarketingData Public

    Engineering a regression model to predict clients' annual income, evaluating feature distributions, testing hypotheses, and assessing the model using the OLS method.

    Jupyter Notebook

  4. FastApi-Project-Bookstore FastApi-Project-Bookstore Public

    The application written in FastApi is a platform for selling and buying books.

    Python

  5. Optimization-Methods-Comparison-for-ML-Models Optimization-Methods-Comparison-for-ML-Models Public

    Comparison of the Momentum, RMSprop, and Adam optimization methods to GD and SGD for machine learning models using synthetic data to evaluate convergence speed and accuracy.

    Jupyter Notebook

  6. Prediction-Sociolinguistic-Data-Based-on-the-Diaries-Texts-of-the-Prozhito-Project Prediction-Sociolinguistic-Data-Based-on-the-Diaries-Texts-of-the-Prozhito-Project Public

    The repository contains notebooks created for collecting and preprocessing the corpus of diary entries and for experiments on creating models for predicting gender, age groups of authors and the ti…

    Jupyter Notebook