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  • Ufa State Petroleum Technological University
  • Ufa, Russia

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ustyuzhaninky/README.md

Konstantin Ustyuzhanin

ML Researcher

I'm a machine learning researcher based in Ufa Russia with 5 years of experience in the software industry, higher education and research.

☎️ Contact information

📧 [email protected]

☎️ https://join.skype.com/invite/IxPBtY67gjwm (skype)

🐙 github.com/ustyuzhaninky

🔗 https://www.linkedin.com/in/konstantine-ustyuzhanin-544551131/


👩🏻‍💻 Work experience

Assistant / Machine Learning Researcher

FSBEI HE Ufa State Petroleum Technological University*, Ufa– 2017 till now*

Participated as a ML software developer in three major university projects, including one where took upon a role of leading software developer. Published 16 scientific articles since 2015, acquired 7 Software Registration Certificates (RU) including one patent (RU). Developed 4 online courses on machine learning, data analysis and information technology for internal online education recourse do.rusoil.net during COVID-19 pandemic. Actively develops new educational handbooks.


🛠 Skills

💻 Technology

Python⭐️⭐️⭐️⭐️

My "native" programming language, I've worked with it for over 5 years. I've used it in machine learning with tensorflow and keras and in ml service backend development for APIs with Flask and Docker.

Tensorflow/Keras⭐️⭐️⭐️⭐️⭐️

My "native" framework, I've worked with it for over 5 years. I've used it in time series classification tasks, agent systems, convolutional networks for image classification and transformers for text analysis. I am proficient in implementing custom layers and models from scientific articles.

SQL⭐️⭐️

I had used small SQLite databases in several areas with python for over a year.

GUI Apps⭐️⭐️⭐️⭐️⭐️

I develop GUI apps with QT5 and QML from form design to packaging and distribution. I am proficient in packaging python ML apps into desktop applications — two of three projects I helped launch were from this area.


🗣 Languages

Russian 🇷🇺

Native speaker

English 🇺🇸 🇬🇧

Advanced

French 🇨🇦 🇫🇷

Beginner


📚 Education

Postgraduate Degree in Technology

2017-2021, Ufa State Petroleum Technological University, Ufa

Studied DQN agent neural networks and their performance in non-stationary environment in order to find agent architecture to strengthen adaptive abilities via state-action-stimuli memory. Results of postgraduate research are published on GitHub: https://github.com/ustyuzhaninky/OSAR-keras/tree/legacy.

Pinned Loading

  1. OSAR-keras OSAR-keras Public

    Objective Stimuli Active Repeater

    Jupyter Notebook

  2. Tensorflow-Tree Tensorflow-Tree Public

    Forked from benoitdescamps/Neural-Tree

    Tensorflow implementation of a decision Tree

    Python