Vahagn Yeghikyan, Computer Vision Developer in Yerevan, Armenia
Vahagn Yeghikyan

Computer Vision Developer in Yerevan, Armenia

Member since May 12, 2017
Vahagn is a software engineer with 7+ years of experience and an emphasis on C++ and Python. His primary focus has been computer vision, but he has also worked on .NET services in C# and web-based crawlers with Python and Java. Vahagn has a strong mathematical background and holds a PhD in theoretical physics. He loves challenging projects and thrives in focused and collaborative environments.
Vahagn is now available for hire

Portfolio

  • NVision
    C++11, OpenCV, TensorFlow, SQL, Azure, Azure SQL, AWS, Azure Blob Storage API...
  • IntelinAir
    OpenCV, TensorFlow, Python 3, Algorithms, Ubuntu Linux, Linux, C++...
  • Gile
    Python, Django, C#.NET, Java, Hadoop, HBase, Python 3, C#, Web Crawlers...

Experience

Location

Yerevan, Armenia

Availability

Part-time

Preferred Environment

Linux, Ubuntu Linux, CLion, PyCharm

The most amazing...

...thing I've designed is a large, content-based image indexing and retrieval application with classic computer vision, machine learning, clouds, Docker, and K8s.

Employment

  • R&D Engineer

    2018 - PRESENT
    NVision
    • Designed and developed a scalable image indexing and retrieval application.
    • Researched state-of-the-art approaches for image indexing and proposed new solutions for the known problems.
    • Communicated with end users and designed and proposed solutions for the integration of our system with their platform.
    • Trained a variation of HiDDeN network as discussed in an academic paper (https://arxiv.org/abs/1807.09937).
    Technologies: C++11, OpenCV, TensorFlow, SQL, Azure, Azure SQL, AWS, Azure Blob Storage API, Azure Table Storage, AWS S3, AWS SDK, Google Cloud, Docker, Python 3, C#, Algorithms, Ubuntu Linux, Linux, C++, Azure SDK, Computer Vision, Google Mock (GMock), Python, Image Processing, C#.NET, Machine Learning, HTML, JavaScript, Django, Angular
  • R&D Engineer

    2017 - 2018
    IntelinAir
    • Trained a cloud shadow detection network on aerial imagery.
    • Proposed a solution for an atmospheric effect compensation tool for infrared aerial imagery.
    • Completed multiple small tasks related to the IntelinAir platform.
    Technologies: OpenCV, TensorFlow, Python 3, Algorithms, Ubuntu Linux, Linux, C++, Computer Vision, Python, Machine Learning
  • Senior Full-stack Developer

    2015 - 2017
    Gile
    • Developed a scalable application for large-scale web crawling and data mining.
    • Developed Python and C# services for large-scale data manipulation.
    • Developed MapReduce applications for producing reports from the crawled data.
    Technologies: Python, Django, C#.NET, Java, Hadoop, HBase, Python 3, C#, Web Crawlers, Large-scale Web Crawlers, HTML, JavaScript, Angular, MapReduce
  • Senior Full-stack Developer

    2014 - 2015
    BetConstruct
    • Developed an online scratching game that implemented the coin-flipping by telephone algorithm.
    • Tracked and fixed bugs using Jira as a reporting tool.
    • Completed minor tasks on BetConstruct's database ORM written in C++.
    Technologies: C#.NET, ASP.NET MVC, SQL, MySQL, C++, C#, HTML, JavaScript, Jira, Algorithms

Experience

  • Idem
    https://idem.vision/

    Powered by machine learning technology, Idem is an intelligent tool that rapidly scans the web and finds uses of your original copyrighted images and videos, even matching doctored or edited versions.

  • GagoUI
    https://github.com/vahagnIV/gago-ui

    A small visual tool written in C++ to easily calibrate a stereo camera rig. It requires installing LibGago, a separate library (also written by me) that provides functionality for reading from and synchronizing two cameras. The existing tools provided with OpenCV and MATLAB are command-line and require some manual work.

  • Reimplementation of ORB SLAM3
    https://github.com/vahagnIV/orb_slam3

    A library for simultaneous localization and mapping (SLAM) for autonomous systems such as robots. This is a reimplementation of ORB SLAM3 library by Carlos Campos, Richard Elvira, Juan J. Gómez Rodríguez, José M. M. Montiel, and Juan D. Tardos.

Skills

  • Languages

    Python 3, C++, C#, Python, C#.NET, Java, SQL, HTML, JavaScript
  • Libraries/APIs

    OpenCV, TensorFlow
  • Other

    Matrix Algebra, Physics, Algebra, Linear Algebra, Abstract Algebra, Geometry, Advanced Physics, Azure SDK, Computer Vision, Algorithms, Image Processing, Machine Learning, Web Crawlers, Large-scale Web Crawlers, Simultaneous Localization & Mapping (SLAM), Robot Operating System (ROS)
  • Frameworks

    Google Mock (GMock), Qt, Django, Hadoop, ASP.NET MVC, Angular
  • Tools

    AWS SDK, Jira
  • Platforms

    Linux, Ubuntu Linux
  • Paradigms

    MapReduce
  • Storage

    HBase, MySQL

Education

  • PhD in Physics
    2008 - 2011
    Yerevan State University - Yerevan, Armenia

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