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mmkuznecov/README.md

Mikhail Kuznetsov

Research Engineer at MSU Artificial Intelligence Research Center. Master's student in Advanced Computational Science at Skolkovo Institute of Science and Technology. Student at Yandex School of Data Analysis (YSDA).

Education

Skolkovo Institute of Science and Technology (Sep 2024 - Present)
Master of Science - Advanced Computational Science

Yandex School of Data Analysis (Sep 2025 - Present)
Data Analysis and Artificial Intelligence in Applied Sciences

National Research Nuclear University MEPhI (Sep 2020 - Aug 2024)
Bachelor of Science - Software Engineering (GPA: 4.27/5)

Technical Skills

Languages: Python, C, C++

Machine Learning: PyTorch, PyTorch3D, Keras, OpenCV, Scikit-learn, CatBoost, HuggingFace

Backend & Tools: FastAPI, Flask, Celery, RabbitMQ, Redis, PostgreSQL, TorchServe, Docker, Git, Jupyter, WandB, Gradio

Professional Experience

MSU Artificial Intelligence Research Center - Research Engineer (Sep 2025 - Present)

  • Focus on perception and autonomous driving technologies

SberAI - Data Scientist (Aug 2023 - Aug 2025)

  • Developed point cloud completion models and 3D avatar generation pipelines
  • Created facial attribute analysis service using TorchServe
  • Contributed to materials science projects predicting properties of new materials (AIRI group)
  • Developed multimodal search system for Peterhof museum's antiquariat collection
  • Participated in parking lot occupancy detection research

Copter Express - Junior Software Engineer (Sep 2018 - Jun 2019)

  • Developed software for CLOVER drone educational toolkit and PELICAN industrial drone
  • Implemented face recognition system for drone demonstration at PX4DevSummit, Zurich
  • Represented company at technical conferences

Selected Publications

Notable Projects

Face Recognition for CLOVER Drone - Implemented computer vision system for autonomous face recognition and tracking on educational drone platform. Documentation

Parser Combinators for Syntax Error Detection - Research on metaprogramming approaches for automated code syntax error identification.

AIvsBIAS - Investigation of gender bias mitigation techniques in Word2Vec models.

Contact

Email: mmkuznecov2002@gmail.com
Portfolio: mmkuznecov.github.io
GitHub: github.com/mmkuznecov
Kaggle: kaggle.com/mmkuznecov

Popular repositories Loading

  1. face_recognition_from_clever face_recognition_from_clever Public

    Script for face recognition from quadcopter "Clever"

    Python 13 1

  2. queue_analysis queue_analysis Public

    System for queue detection and control

    HTML 10 1

  3. AIvsBIAS AIvsBIAS Public

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

    Jupyter Notebook 9

  4. ssrlib ssrlib Public

    Framework for unsupervised and self-supervised learning & embeddings analysis

    Python 7

  5. objects_counting_from_clever objects_counting_from_clever Public

    System for recognition and counting of different objects with Clever

    Python 4

  6. face_recog face_recog Public

    Face recognition system based on GAN dataset

    Jupyter Notebook 4