Michael Karchevsky, Computer Vision Developer in Krasnoyarsk, Krasnoyarsk Krai, Russia
Michael Karchevsky

Computer Vision Developer in Krasnoyarsk, Krasnoyarsk Krai, Russia

Member since June 6, 2016
Michael has five years of experience in a scientific research environment as a Python, C++, and OpenCV developer. He is interested in complex projects related to various aspects of computer science, especially in the fields of computer vision, video analytics, and machine learning. In addition, he enjoys developing mobile applications.
Michael is now available for hire


  • Aurteen, Inc.
    Deep Learning, TensorFlow, PyTorch, Python, Image Processing
  • SeatCrawler
    Python, Pandas, SQL, Sklearn, Statsmodels, Luigi, JavaScript, Bottle
  • P2 Energy Solutions
    AWS, S3, RDS, EC2, Redshift, PostgreSQL, Tibco Spotfire, JavaScript, Python



Krasnoyarsk, Krasnoyarsk Krai, Russia



Preferred Environment

Windows/Linux, Git, JetBrains (PyCharm)

The most amazing...

...scientific challenge I've tackled was one where I developed and implemented several algorithms for tracking particles in a fluid optical experiment.


  • Python Developer

    2018 - 2018
    Aurteen, Inc.
    • Built a proof-of-concept deep learning-based semantic image segmentation network that will be capable of segmentation of three types of lesions (fluid leakage) in retinal images (medical image from the back of the eye).
    Technologies: Deep Learning, TensorFlow, PyTorch, Python, Image Processing
  • Data Scientist

    2017 - 2018
    • Researched and developed new machine learning algorithms.
    • Implemented data crawlers and ETL.
    • Developed and improved data science pipelines.
    • Established a fault-tolerant multiprocessing workflow.
    • Maintained a Python web service (front-end + back-end), improved API integration, and developed new features.
    • Developed prediction of ticket prices and ticket sales.
    Technologies: Python, Pandas, SQL, Sklearn, Statsmodels, Luigi, JavaScript, Bottle
  • Big Data Analyst

    2016 - 2017
    P2 Energy Solutions
    • Automated a database migration pipeline from RDS to Redshift.
    • Built a new data warehouse to serve analytic operations.
    • Designed and implemented SQL scripts for data analysis.
    • Maintained and modified Spotfire data visualization pages.
    Technologies: AWS, S3, RDS, EC2, Redshift, PostgreSQL, Tibco Spotfire, JavaScript, Python
  • Software Developer

    2013 - 2017
    • Implemented a detection system and tracking of people on video, to help determine statistics in the supermarket.
    • Created software for automatic data processing and visualization of results.
    • Created an algorithm for a data science predictive model.
    • Developed image analysis algorithms for medical equipment.
    • Created neural network architecture and an API for styling images.
    Technologies: Keras, TensorFlow, OpenCV, Python, NLTK, PyTorch
  • Teacher of IT and Computer Science

    2014 - 2016
    Novosibirsk State University
    • Created an education methodology. Created lectures for fast understanding of key aspects. Structured programming knowledge.
    • Approved communication and presentation skills. Learned to transfer thoughts and ideas to students.
    • Got two students for scientific advisory as a result of acceptance of good training methodologies.
    • Trained students to be the best at programming, as measured by the results of the final exams.
    Technologies: C, C++, OOP, Git, OpenCV, MATLAB, Python, Image Processing, CUDA
  • Junior Researcher

    2014 - 2015
    Baker Hughes
    • Gained experience in fluid dynamics of wells and Monte Carlo methods.
    • Created optimization methods for solving the inverse problem (based on the Monte Carlo algorithms).
    • Implemented detailed statistical analysis of experimental data of drill bits.
    • Created an electromagnetic device model to predict sensor values.
    • Implemented 30+ data processing scripts (with full visualization).
    Technologies: C, C++, OpenCV, Python, Wolfram Mathematica, MATLAB, Fortran
  • Laboratory Research Assistant

    2009 - 2014
    Novosibirsk State University, Institute of Thermophysics
    • Developed and modified algorithms for particle image velocimetry (PIV) and particle tracking velocimetry (PTV).
    • Implemented deep mathematical image processing algorithms.
    • Gained experience in analyzing algorithm documentation and using it as instructions for implementation.
    • Participated in many conferences, authoring or co-authoring thirteen scientific papers.
    • Created utilities and plugins for data processing.
    Technologies: C, C++, Python, OpenCV, MATLAB, SVN, Wolfram Mathematica, D3.js, Linux, Tecplot, CUDA, HTML, CSS, JavaScript
  • Intern

    2013 - 2013
    • Modeled hydraulic fracturing.
    • Developed numerical data analysis algorithms.
    • Gained experience in computer simulations of physical processes, mathematical modeling, and numerical analysis.
    • Implemented visualization and preparation of technical presentations.
    Technologies: C++, Python, MATLAB, Wolfram Mathematica, Petrel, D3.js



  • Languages

    Python, C, SQL, Swift, C++, Java, C#, Visual Basic, BASIC, HTML, CSS, JavaScript, UML, Delphi, Pascal
  • Libraries/APIs

    Pandas, NumPy, SciPy, Keras, Matplotlib, NLTK, Sklearn, OpenCV, Scikit-learn, PyTorch, NetworkX, SQLAlchemy, TensorFlow, Python Imaging Library, D3.js, Instagram API, Beautiful Soup, Java Digital Image Processing (DIP), Standard Template Library (STL), OpenMP, DirectX, Node.js
  • Tools

    Seaborn, Gensim, Scikit-image, Git, Plotly, Mathematica, StatsModels, Jupyter, IPython, PyCharm, Microsoft Visual Studio, Tecplot, MATLAB, Subversion (SVN), AWS SES, Google Analytics, WebStorm, IPython Notebook, Adobe Photoshop, TortoiseSVN, Spotfire, Apache, SQLiteManager
  • Paradigms

    Functional Programming, REST, Object-oriented Programming (OOP), Parallel & Distributed Computing, Concurrent Programming, Test-driven Development (TDD), Data-driven Programming, Model-driven Development
  • Platforms

    Jupyter Notebook, Amazon Web Services (AWS), Linux, Amazon, Windows, AWS EC2, MacOS, CUDA, Surface
  • Other

    Neural Networks, Deep Learning, Algorithms, Analytics, Image Processing, Data Analysis, Computer Vision, Mathematics, Machine Learning, Scientific Computing, Bokeh, Tesseract, Physics Simulations, Debugging, Statistics, Data Structures, Numerical Methods, Network Programming, Problem Solving, 3D Image Processing, Patterns
  • Frameworks

    Scrapy, Flask, .NET
  • Storage

    PostgreSQL, Redshift, MySQL, JSON, SQLite, NoSQL, MongoDB


  • Masters's degree in Data Analysis
    2015 - 2017
    Yandex School of Data Analysis - Moscow
  • Postgraduate degree in Physical and Technical Information Technology
    2014 - 2016
    Novosibirsk State University - Novosibirsk
  • Master's degree in Automation of Physical and Technical Research
    2012 - 2014
    Novosibirsk State University - Novosibirsk
  • Bachelor of Science degree in Automation of Physical and Technical Research
    2008 - 2012
    Novosibirsk State University - Novosibirsk

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