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mmkuznecov/README.md

Hi there 👋 My name is Mikhail Kuznetsov. Currently I'm a software engineer student at NRNU MEPhI, Moscow, Russian Federation. I am interested in machine and deep learning research, computational mathematics and robotics :)

💻 List of technologies

My main programming language is Python 3, because it is very useful and comfortable for performing machine learning experiments. I am familiar both with classical methods (linear regression, gradient boosting, SVM, naive Bayesian e.g.) and deep learning models. I use Google Colab and Kaggle in order to train the models. Also you can check out my Kaggle account.

You can see set of mostly used technologies and libraries below:

Git Python 3 Jupyter Notebook Keras Keras Tensorflow Sklearn CatBoost

👷 Job experience

I have interned at Copter Express company, working on open-source UAV educational kit Clever. Here you can find the article about the face recognition system for it, meanwhile code for the project can be found at the following repository. Also I have interned at Sber company as a junior developer, where I have worked on NLP tasks.

🚀 Projects

📫 Contact info

You can check out my CV here.

Also you can contact me via:

Email VK Instagram Twitter

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Popular repositories Loading

  1. face_recognition_from_clever face_recognition_from_clever Public

    Script for face recognition from quadcopter "Clever"

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  3. AIvsBIAS AIvsBIAS Public

    This is a research on approaches to fit Word2Vec embedding without gender bias

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  4. objects_counting_from_clever objects_counting_from_clever Public

    System for recognition and counting of different objects with Clever

    Python 3

  5. face_recog face_recog Public

    Face recognition system based on GAN dataset

    Jupyter Notebook 3

  6. BEST_hack_final_A_team BEST_hack_final_A_team Public

    Solution for Data science track of final of BEST Hack 2021

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