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Alexander Rhatushnyak, Data Compression Algorithms Developer in Waterloo, ON, Canada
Alexander Rhatushnyak

Data Compression Algorithms Developer in Waterloo, ON, Canada

Member since January 18, 2018
Alexander possesses a Ph.D. in computer science, is an expert in lossless data compression algorithms, a Hutter Prize winner, and a top contributor in competitions that rank lossless data compression programs. His knowledge and experience also spans many adjacent fields including data science, machine learning, natural language processing, digital signing processing, and video/audio compression.
Alexander is now available for hire



  • Data Compression Algorithms, 20 years
  • Data Structures, 19 years
  • C, 19 years
  • Algorithms, 19 years
  • C++, 15 years
  • Python, 6 years
  • NumPy, 3 years
  • Scikit-learn, 2 years
Waterloo, ON, Canada



Preferred Environment

Ubuntu, GCC, Windows/Visual Studio, Python, NumPy

The most amazing...

...things I've worked on are the video codecs for V-Nova (, a sentiment analysis for Sortable, and lossless image/text codecs listed in LPCB & LTCB.


  • Senior Software Engineer

    2014 - 2018
    • Implemented advanced video compression for the modern web; this included some modern machine learning.
    • Wrote a reference video codec for a CPU; written in C++ and mostly done by myself.
    • Contributed to Cuda and OpenCL video codecs targeting GPU.
    • Researched and developed video compression algorithms; first with C++, then mostly with Python and NumPy, SymPy, and SciPy. Some of the R&D code was written in MATLAB. The telemetry data compression was again done with C/C++.
    • Developed lossless compression algorithms for medical images.
    Technologies: CUDA, C++, Python, OpenCL
  • Software Development Engineer 2

    2013 - 2014
    • Worked on the SQL Server debugging-only team.
    • Implemented various debugging methods; using C++ and some C#.
    Technologies: C++, Debuggers, Debugging, SQL


  • Hutter Prize Entry (Development)

    I wrote this compressor, mostly in 2017, and it compresses 100 MB of English Wikipedia articles better than any other compressor. I was awarded the Hutter Prize on January 31, 2018.

    The NLP half of compressor is a thousand times faster (when decompressing data) than the part with data modeling and machine learning methods, but it is equally important.

    The version of this compressor modified to handle 1 GB of English Wikipedia data and is currently (as of Feb. 2018) at the very top of Large Text Compression Benchmark's rankings.

  • Competitions that Rank Lossless Data Compression Programs (Other amazing things)

    I've participated in several competitions that rank lossless data compression programs, notably "Large Text Compression Benchmark" and "Lossless Photo Compression Benchmark". Please search for phda9 in "Large Text Compression Benchmark" and GraLIC, FLIC, QLIC, QIC in "Lossless Photo Compression Benchmark".


  • Languages

    C, C++, Python, Java
  • Paradigms

    Functional Programming, Object-oriented Programming (OOP), Data Science
  • Other

    Algorithms, Data Structures, Data Compression, Data Compression Algorithms, Video Compression, ARM, Brainstorming, Data Mining, Machine Learning, OpenCL/GPU, Natural Language Processing (NLP)
  • Frameworks

    Boost, OpenCL
  • Libraries/APIs

    Scikit-learn, NumPy, SciPy
  • Tools

    Microsoft Visual Studio, GCC, MATLAB
  • Platforms

    Google Cloud Platform (GCP), CUDA
  • Storage



  • Ph.D. degree in Computer Science
    1999 - 2003
    A.P. Ershov Institute of Informatics Systems - Novosibirsk, Siberia, Russia
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