Dmitry S. Kravchenko, Neural Networks Developer in Moscow, Russia
Dmitry S. Kravchenko

Neural Networks Developer in Moscow, Russia

Member since January 19, 2016
Dmitry is a programmer, software architect, IT consultant, and ML enthusiast with over twenty years of experience. He began his career building code for programmable calculators and mainframes when there were no PCs in the USSR. His first language was C++, which he has used to build various scientific programs. Over the years, he has specialized in AI technologies, machine learning, and image recognition. Dmitry has an MSc degree in physics.
Dmitry is now available for hire


  • Microart
    Code Architecture, Embedded Hardware, Hardware Drivers, PHP, NGINX, Windows...
  • Yandex
    Algorithms, Distributed Computing, Linux, Python, C, C++, MapReduce, Big Data
  • Presenso
    Algorithms, Linux, TensorFlow, Python, MATLAB, Weka, Spark, Hadoop, Java



Moscow, Russia



Preferred Environment

JetBrains, Visual Studio

The most amazing...

...thing I plan to develop is the absolute last word in programming languages, allowing for the expression of arbitrary knowledge.


  • Software Developer

    2020 - PRESENT
    • Fixed company's Android application which turned incompatible with new versions of battery monitoring hardware and new requirements of Google Play.
    • Fixed company's Windows application which turned incompatible with new versions of battery monitoring hardware.
    • Developed linux driver for company's new battery charger hardware, which is communicating with a device via USB and allows to monitor it's parameters and control it.
    • Extended company's embedded web application to support new battery charger hardware.
    Technologies: Code Architecture, Embedded Hardware, Hardware Drivers, PHP, NGINX, Windows, C++, Kotlin, Android, Linux, Raspberry Pi, Perl, C
  • Software Developer

    2019 - 2020
    • Reduced machine time by a factor of ten in the MapReduce database building process, containing 300 billion records.
    • Reduced machine operation time from five hours to one hour in the MapReduce process for a database, containing more than a trillion records.
    • Automated computation of image features, including neural and image to text in small main page widget.
    Technologies: Algorithms, Distributed Computing, Linux, Python, C, C++, MapReduce, Big Data
  • Machine Learning Engineer

    2017 - 2019
    • Wrote a proof-of-concept with Python, Keras+TF to show the capability of deep models to predict time-to-failure for industrial machines. I showed that it is possible to improve performance for customers with a large amount of ground truth data.
    • Wrote a tool to automate the model selection and hyperparameter search with the help of Matlab's Bayesian optimization and Python scripts for model deployment.
    • Added automatic feature selection capability to the system, which allowed for improvement of model performance by several points.
    • Improved MATLAB visualization code to be capable of displaying hundreds of features simultaneously.
    • Supported usage of analytics company software by other divisions; performed presentations and manuals.
    Technologies: Algorithms, Linux, TensorFlow, Python, MATLAB, Weka, Spark, Hadoop, Java
  • Machine Learning Engineer

    2018 - 2018
    RAD Software (via Toptal)
    • Implemented an algorithm from a scientific paper with the help of parallel computing in TensorFlow.
    Technologies: TensorFlow, Python
  • Developer (GIS and Python)

    2017 - 2018
    Energent Group (via Toptal)
    • Wrote a Python script that reads a GeoJSON file with client-provided point of interest (POI) list and downloads satellite images from Sentinel-2 hub service to AWS or S3. The script is able to update a set of images on GeoJSON change.
    • Created a simple Node.js/Jade/PUG website which shows downloaded images to the user and allows them to manually classify them against a set of classes provided (for subsequent supervised machine learning). Results are saved on AWS or S3 in JSON format.
    • Created a deep (convolutional and recurrent) neural network model with the help of Keras and TensorFlow and trained it against the collected trainset on GTX 1070 GPU with CUDA and CuDNN. Trained weights are saved in HDF5 format on AWS or S3.
    • Created a web service to perform prediction online with the help of Flask/Jade.
    Technologies: Amazon Web Services (AWS), Sentinel, GIS, JavaScript, Node.js, Flask, Amazon S3 (AWS S3), AWS, Keras, TensorFlow, Python, Machine Learning
  • Google Maps Developer

    2017 - 2017
    Beyond Map (via Toptal)
    • Wrote a custom Google Maps-based JavaScript widget with custom layers containing regions, geospatial information, custom tilesets, popups, markers, diagrams, and more. The widget includes geospatial filtering, keeping only that data which falls into the Google Maps frame.
    • Connected the widget to the existing Laravel blade template from the existing customer project. Worked with a Bitbucket repository provided by the customer.
    • Installed an Amazon Beanstalk web server for the customer to be able to see updates online. Deployed the site onto this server regularly.
    • Wrote a Java desktop program to generate and process demo and customer data. This includes creating and populating a SQLite database and generating custom PNG tilesets.
    • Created a Laravel controller (service) to serve geospatial data for the widget. The controller was able to access the SQLite database and produce GeoJSON responses for the widget.
    • Created a proxy Laravel controller (service) to access the third-party Yelp Fusion API and prepare its responses in GeoJSON format for the widget.
    Technologies: Fusion, Google Maps, IntelliJ, PhpStorm, GeoTools, Spring Data JPA, Java, SQLite, PHP, Laravel, JavaScript, GeoJSON
  • Programmer

    2016 - 2016
    CIRECA Theranostics, LLC (via Toptal)
    • Created an "overlay widget" in Java, which can be embedded in both MATLAB and Java applications and is able to display and manipulate multilayered scientific vector graphics data.
    • Built a database layer for a Java GUI application, allowing it to interact with "bound" JavaFX objects.
    • Developed an API to mix Spring Framework and JavaFX.
    • Created a desktop laboratory information and data mining system.
    • Wrote a test environment and manual protocol to use when disconnected from the internet.
    • Developed a domain-specific language (DSL) to query medical data with the help of Antlr4.
    • Wrote MATLAB functions to "glue" Java and MATLAB and test interactions.
    Technologies: Algorithms, Spring, JavaFX, Linux, MySQL, MATLAB, Java
  • GIS Developer

    2016 - 2016
    Trackmatic Solutions (via Toptal)
    • Created a web service to query the MongoDB database and analyze the resulting data by geospatial properties with the help of GeoTools.
    • Developed a demo for the front end, which displayed an open street map layer and found data on additional layers.
    • Wrote unit tests with the help of MockMVC, Jackson, and more.
    Technologies: LeafletJS, Turf.js, GeoJSON, JavaScript, MongoDB, GeoTools, Spring, Java
  • Software Developer

    2013 - 2015
    Image Recognition and Training Framework
    • Developed software to build, test, train, and run learning graphs and deep neural networks.
    • Reached performance of 80% on reCAPTCHA.
    Technologies: Image Processing, Neural Networks, MATLAB, Java
  • Software Developer

    2012 - 2012
    • Modified a Red5 server to get custom sound generation, capturing, processing, and recognition.
    Technologies: RTMP, MaryTTS, CMUSphinx 4, Adobe Flash, Xuggler
  • Software Developer

    2009 - 2011
    • Developed a voice-controlled personal assistant knowledge-based mobile application.
    Technologies: Wikidata, Apache Jena, SPARQL, Artificial Intelligence Markup Language (AIML), RDF
  • Software Developer

    2010 - 2010
    • Wrote multiple programs to scrape web data and put it into a SQL database.
    Technologies: SQL, Microsoft SQL Server, C#
  • Software Developer

    2008 - 2009
    • Developed CAPTCHA recognition software with the help of neural networks trained in MATLAB on the cluster of several workstations and ran in Java or C#. Achieved efficiency was up to 97% per symbol on some image types.
    Technologies: Piccolo 2D, ImageJ, Swing, JavaFX, Neural Networks, MATLAB, C#, Java
  • Software Developer

    2007 - 2007
    • Developed an inference engine and knowledge storing sytem to solve simple logical puzzles like Zebra puzzle.
    • Used core Java, including multithreading.
    • Created custom logic language and wrote my own interpreter.
    Technologies: Spring, Multithreading, Java
  • Software Developer

    2007 - 2007
    • Learned speech recognition and production models like HMMs.
    • Used an undocumented Google ASR API.
    • Wrapped PorgramW into Apache MINA.
    • Developed a voice-based question answering program.
    • Developed corpus collection software from TV closed captions in C++.
    Technologies: Artificial Intelligence Markup Language (AIML), MaryTTS, ASR, Google, CMUSphinx 4, Apache MINA, Java, C++
  • Co-founder and Developer

    2002 - 2006
    • Developed and implemented a custom non-SQL (graph) database system.
    • Created custom web templates using Java, JSP, and servlets.
    • Built a custom content management system called Webmet CMS with Java and Tomcat.
    • Used the Webmet system to build and manage an academic website.
    Technologies: MySQL, Firebird, Servlet, Apache Tomcat, Java
  • Senior Expert

    1997 - 2002
    Russian Federation Central Bank
    • Created different workflow automation software to access desktop applications and Oracle on client servers.
    • Managed a small team of developers.
    Technologies: Microsoft SQL Server, Oracle, Microsoft Access, Visual Basic for Applications (VBA), VB, C++
  • Analyst

    1994 - 1995
    Trust-Service Brokerage Company
    • Analyzed stock market trends using an original algorithm to calculate the stock market index.
    Technologies: Visual Basic for Applications (VBA), Microsoft Excel, C++
  • Analytical Division Head

    1994 - 1995
    National Information Agency
    • Built software to collect share quotations.
    • Produced weekly TV reports about the share market.
    • Helped develop a satellite network for transferring quotations.
    Technologies: C++, Visual Basic for Applications (VBA), Microsoft Access
  • Graduate Student

    1994 - 1994
    Nuclear Physics Research Institute, Moscow State University
    • Defended a thesis on the computer modeling of atomic nuclei collisions using 3D hydrodynamic modeling.
    Technologies: Linux, C++


  • Geospatial Web API

    Developed a web application and API to convert geographical coordinates to street information in vehicle tracking system. Solved the problem of incorrect GPS coordinates by analyzing neighbor street traffic regulation data. Reached real-time performance with MongoDB spatial indexing.

  • Watergame (School Project)

    Developed a web presentation and 2D animated game with one level. Designed the custom tileset in Adobe Illustrator. Used Construct-2 for an engine.

  • Image Recognition Deep Learning Framework

    Distributed computing software, based on MATLAB Distributed Server and Java (as controller), which allowed users to build graphs for computation and training tasks over multidimensional data. The project was paused after Google's TensorFlow was disclosed.

  • Voice Controlled Personal Assistant

    A mobile application, which is able to answer questions and execute simple tasks. Users can make all requests with their voice. Written in Java, AIML, CMU Sphinx, Mary TTS, and HTML5.

  • Inference Engine

    Built a system that is able to solve logic puzzles like the Zebra Puzzle. The engine was written in a custom knowledge presentation language.

  • Webmet

    Webmet is a custom content management system and non-SQL database.


  • Languages

    Java, C#, HTML, JavaScript, C, C++, SQL, JADE, Pug, Python, HTML5, CSS, Visual Basic for Applications (VBA), PHP, Visual Basic, VB, Artificial Intelligence Markup Language (AIML), Perl, Kotlin, Groovy, R, UML, Octave, Coq, XML, OWL, SPARQL, RDF
  • Libraries/APIs

    Java Collections, Keras, Node.js, Google Maps JavaScript API 3, Google Maps API, Jackson, Selenium WebDriver, Java Servlets, JDBC, TensorFlow, jQuery UI, jQuery, AngularUI, Google Gson, Turf.js, Google Maps, Matplotlib, Google Vision API, Adobe RTMP, FFmpeg, OpenCV, Pandas, NumPy, Scikit-learn, LeafletJS, Deeplearning4j
  • Tools

    MATLAB, IntelliJ IDEA, Eclipse IDE, Adobe Photoshop, Fiddler, Maven, Mathematica, Microsoft Visual Studio, Android Studio, dbForge Studio, MySQL Workbench, Apache Tomcat, GIS, Gradle, IntelliJ, Visual Studio, Servlet, Microsoft Access, ImageJ, Adobe Flash, PhpStorm, Sentinel, Weka, NGINX, JetBrains, COLT, Flash, Blender, Subversion (SVN), 3ds Max, GeoTools, Apache Maven, Apache Ant, ANTLR, Microsoft Excel, Scikit-image, Adobe Illustrator, Xdebug, Jira, GitHub, Git
  • Paradigms

    MapReduce, Distributed Computing, Functional Programming, Dependency Injection, Concurrent Programming
  • Storage

    SQLite, Amazon S3 (AWS S3), Spring Data JPA, Microsoft SQL Server, Firebird, MySQL, H2, MySQL/MariaDB, JSON, Neo4j, MongoDB
  • Other

    Mathematics, Big Data, Image Recognition, Deep Learning, Machine Learning, Audio Editing, HTTP, Networks, Neural Networks, Image Processing, Speech Recognition, Red5, Physics Simulations, Artificial Intelligence (AI), Computer Vision, Cluster Computing, GeoJSON, Piccolo 2D, Wikidata, CMUSphinx 4, Google, Fusion, AWS, Hardware Drivers, Embedded Hardware, Algorithms, Code Architecture, Xuggler, Jhla, Commons, CMU, Enterprise Architecture, Multithreading, Apache Commons, Convolutional Neural Networks, VNC, Tesseract, TCP/IP, FTP, Semantic Web, SSL, HTTPS, POP3, SMTP, RTP, RTMP, Speech Synthesis, ASR, Natural Language Processing (NLP), Liferay
  • Frameworks

    Swing, Spring, Adobe Flex, Google Guava, HtmlUnit, Spring MVC, Bootstrap, AngularJS, JPA, JUnit, Hadoop, Spark, Zend Framework, Flask, Laravel, jMonkeyEngine, Spring Boot, Unity3D, Unity, Apache Jena, Apache MINA
  • Platforms

    Amazon Web Services (AWS), Windows, Linux, NetBeans, Eclipse, MaryTTS, Raspberry Pi, Apache Kafka, AWS Elastic Beanstalk, Oracle, JavaFX, Arduino, Android


  • Nanodegree in Machine Learning
    2016 - 2017
    Udacity - Online
  • Certificate in R Programming
    2015 - 2015
    Coursera - Online
  • Certificate in Machine Learning
    2015 - 2015
    Coursera - Online
  • Master's Degree in Physics
    1989 - 1995
    Moscow State University - Moscow, Russia

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