Shafaq N Embedded Computer Vision
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I am a passionate tech-enthusiast with a Post Grad in Signal Processing and over 10 years of industry experience in Computer Vision and Embedded H/W - S/W co-processing and design.
I also have experience with Data Science, Machine Learning and Data Analysis. I can teach you various programming languages including Embedded C/C++, Matlab, Python/Keras, and Verilog . I can give online lectures and assignments on core subjects related to Electrical/Electronics /Signal Processing Engineering. I also conduct weekly and monthly tests to measure student's performance.
I believe in developing knowledge-driven innovative skills amongst my students through interactive sessions and fruitful discussions to bring home the state of the art research ideas and developments.


  • Computer Architecture (Beginner-Expert)

  • Mathematics (Beginner-Expert)

  • Verilog (Beginner-Expert)

  • Machine Learning (Beginner-Expert)

  • Xilinx Vivado (Beginner-Expert)

  • C and C++ (Beginner-Expert)

  • Electrical and electronics engineering (Beginner-Expert)

  • DSP (Beginner-Expert)

  • Matlab Coding (Beginner-Expert)

  • Signal & System (Beginner-Expert)

  • Digital Logic design (Beginner-Expert)

  • Image processing in Matlab (Beginner-Expert)

  • Embedded C Programming (Beginner-Expert)

  • Python for machine learning (Beginner-Expert)

  • CNN (Beginner-Expert)

  • C & Data structures (Beginner-Expert)

  • Parallel and distributed computing (Beginner-Expert)

  • Electronic circuits 1 (Beginner-Expert)

  • Deep learning with Python programming (Beginner-Expert)


No experience mentioned.


  • Masters in Signal Processing (Feb, 2015Dec, 2019) from University of Engineering and Technology, Taxilascored 3.88/4.0
  • Post Grad Diploma in Hardware Software Coprocessing (Mar, 2009Mar, 2010) from Pakistan Institute of Engineering and Applied Sciences (PIEAS), Islamabadscored 4.0/4.0
  • BSc Electrical Engineering (Aug, 2004Aug, 2008) from University of Engineering and Technology,Taxilascored 3.8/4.0

Fee details

    Rs2,0003,500/hour (US$13.0822.9/hour)

    Charges are incurred on per hour basis


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