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Achievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor
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canberkdurmus/README.md

Hello, I am Can Berk! 👋

  • 👔 I’m currently working as a real-time control software engineer at CERN.
  • ⚡ I like hackathons and working on UAV projects. I have ten awards from various competitions.
  • 🧐 You can learn more about my experiences, projects, and awards from canberkdurmus.com
  • ✍��� I’m sharing Raspberry Pi projects and guides here: singleboardblog.com
  • 🔭 I use C++, Python, and Java for work. I develop real-time control software for various systems on particle accelerators.
  • 🔑 In my past roles and projects I used
    • OpenCV for real-time thermal imaging and analysis
    • High-level hardware interfaces for Python
    • Multi-threading for communications and network operations
    • Python and QT for automated quality assurance and hardware testing applications
    • Flask, NodeJS, SQL for electronic control hardware production data management applications
    • OpenCV with CUDA and C++ for hardware-accelerated image processing
    • PX4 Mavlink ROS and Gazebo for building and testing autonomous UAV applications
    • Raspberry Pi for almost everything!
  • 📫 How to reach me:

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  1. nearest_smaller_values nearest_smaller_values Public

    Advanced Data Structures Project: A Python implementation to use cartesian trees to solve all nearest smaller values problem

    Python 2

  2. http_proxy_server http_proxy_server Public

    Multithreaded HTTP Server & Proxy Server with Python3

    Python 2 2

  3. cuda-test cuda-test Public

    Tinkering with OpenCV with Cuda support, also testing out the performance difference.

    C++ 1

  4. object_detection_with_deep_learning object_detection_with_deep_learning Public

    Real time object detection with Caffe and OpenCV.

    Python 4

  5. artificial_neural_network artificial_neural_network Public

    Scikit-Learn artificial neural network with 2 hidden layers implementation example.

    Python 1

  6. motif_search motif_search Public

    Genetic motif searching algorithms, Random Motif Search and Gibbs Samplings included. Implemented for academic purposes.

    Python 2