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Michael Karchevsky

Michael Karchevsky

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
  • Data Analysis, 7 years
  • Computer Vision, 7 years
  • Python, 6 years
  • Machine Learning (ML), 5 years
  • Pandas, 4 years
  • Deep Learning, 3 years
  • Amazon Web Services (AWS), 2 years
  • Flask, 2 years
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.
  • Big Data Analyst
    P2 Energy Solutions
    2016 - 2017
    • 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: C, C++, Git, OpenCV, MATLAB, Python, Image processing, Machine learning, Java, Android, Swift
  • Teacher of IT and Computer Science
    Novosibirsk State University
    2014 - 2016
    • 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
    Baker Hughes
    2014 - 2015
    • 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
    Novosibirsk State University, Institute of Thermophysics
    2009 - 2014
    • 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
  • 4th PIV Challenge (Other amazing things)

    I participated in the international scientific competition in data processing for the PIV and PTV algorithms. In the course of this work, I have created, implemented, or improved about twenty algorithms. Technologies used for development were
    C, C++, Python, OpenCV, OpenMP, machine learning, and MATLAB.

  • Russian Engineering Competition (Other amazing things)

    I won the Russian Engineering Competition, 2015. Technologies used for development were C, C++, Python, OpenCV, and machine learning.

  • N+1 Fish, N+2 Fish Data Science Competition (Other amazing things)

    11th place in Video Processing N+1 Fish, N+2 Fish competition (source data -

  • Planet: Understanding the Amazon from Space Data Science Competition (Other amazing things)

    222th (top 24%) - Planet: Understanding the Amazon from Space competition (source data -

  • Toxic Comment Classification Challenge (Other amazing things)

    406th place (out of 4551 top 9%) in Text Processing competition.

  • Machine Learning Video Analysis: Identifying Fish (Publication)
    Machine learning, combined with some standard image processing techniques, can result in powerful video analysis tools. In this article, Toptal Freelance Software Engineer Michael Karchevsky walks through a solution for a machine learning competition that identifies the species and lengths of any fish present in a given video segment.
  • Languages
    Python, C, SQL, Swift, C++, C#, Visual Basic, BASIC, HTML, CSS, JavaScript, UML, Java, Delphi, Pascal
  • Libraries/APIs
    Scikit-learn, NumPy, NLTK, Matplotlib, Pandas, Keras, OpenCV, SciPy, Sklearn, SQLAlchemy, NetworkX, PyTorch, TensorFlow, Python Imaging Library, D3.js, Instagram API, OpenMP, DirectX, Node.js, Standard Template Library (STL), Java Image Processing, Beautiful Soup
  • Tools
    Git, Scikit-image, Gensim, Seaborn, Plotly, Mathematica, IPython, Jupyter, StatsModels, Google Analytics, Visual Studio, Subversion (SVN), AWS SES, PyCharm, Tecplot, WebStorm, MATLAB, Adobe Photoshop, Spotfire, TortoiseSVN, Apache, SQLiteManager
  • Paradigms
    REST, Functional Programming, Parallel & Distributed Computing, Object-oriented Programming (OOP), Concurrent Programming, Test-driven Development (TDD), Data-driven Programming, Model driven development
  • Platforms
    Jupyter Notebook, Amazon Web Services (AWS), Windows, Linux, Amazon, AWS EC2, Mac OS, Surface, CUDA
  • Other
    Machine Learning (ML), Computer Vision, Scientific Computing, Data Analysis, Algorithms, Analytics, 2D Image Processing, Neural Networks, Image Processing, Deep Learning, Mathematics, Debugging, Statistics, Bokeh, Problem Solving, Network Programming, Tesseract, Physics Simulation, Data Structures, Numerical Methods, 3D Image Processing, Patterns
  • Frameworks
    Scrapy, Flask, .NET
  • Storage
    PostgreSQL, AWS Redshift, JSON, SQLite, MySQL, NoSQL, MongoDB
  • Masters's degree in Data Analysis
    Yandex School of Data Analysis - Moscow
    2015 - 2017
  • Postgraduate degree in Physical and Technical Information Technology
    Novosibirsk State University - Novosibirsk
    2014 - 2016
  • Master's degree in Automation of Physical and Technical Research
    Novosibirsk State University - Novosibirsk
    2012 - 2014
  • Bachelor of Science degree in Automation of Physical and Technical Research
    Novosibirsk State University - Novosibirsk
    2008 - 2012
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