• Shubham Wagh
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    Skills

    Everyone has a chance to learn, improve, and build up their skills - Tom Peters

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    Shubham M Wagh

    Shubham M Wagh

    Research Engineer

    • London, England
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    • Programming : C/C++, Python
    • Research Skills : Probabilistic Robotics, Path Planning, Control Theory, Perception, Medical Imaging, Deep Learning for Visual Recognition
    • Operating System : Ubuntu, Windows
    • IDE : Visual Studio, Qt Creator, Eclipse, Dev C++, Sublime Text
    • Version Control : Git
    • Typography : LaTeX, Microsoft Office, LibreOffice Writer
    • Scientific : MATLAB, Octave, Robot Operating System (ROS), Open Motion Planning Library (OMPL) Gazebo, Scientific Python stack (numpy, scipy, scikit-learn, OpenCV, etc.), Point Cloud Library
    • Tools and Utilities : AVR Studio, Arduino, Energia, SciLab, PSpice, MultiSim, Proteus, MakerPlot
    • Hardware : BeagleBone Black, Raspberry Pi 2, TI Launchpad, Tiva C, ATmega Micro-controllers, 8085 Microprocessor
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