Pakistanのフラグ Rawalpindi, Pakistan
登録日: 2018年2月2日
2 推奨


オンライン オフライン
I am a professional engineer with expertise in machine learning, signal processing and image processing. I have excellent programming skills. I have good grip on MATLAB, Python and C/C++. But the main thing about me is my capability to learn new things fast and work in different environment with people from different countries. Client satisfaction is my 1st priority. - 30 days error free service - Continued support after the delivery of final product - 100 % satisfaction guaranteed
$30 USD/hr
  • 98%完了したプロジェクト
  • 85%予算内
  • 83%定時完了
  • 20%再採用率



  • hala1989の画像 Skin lesion image classification $1000.00 USD

    “Great experience to work with Uzair. Thank you ! Did a great coding for me quickly and perfectly ! I highly recommend [login to view URL] good [login to view URL] understood the concepts and ideas very quickly and was greatly able to translate it into results.I will hire him again for the next tasks.”

  • JeryyBrown1の画像 Matlab help with the following $554.00 USD

    “Very professional. Will get work done on time.”

  • AIChiefの画像 Project for uzairrzahid $30.00 USD

    “Very good work!”

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    “very friendly”

  • lee988の画像 Project 18337544 has been deleted €150.00 EUR

    “very nice work, I recommend uzairrzahid”

  • Mwmkhalilの画像 MATLAB steganography code $235.00 USD

    “Freelancer is fast and is a good communicator. The quality of work is high and he was able to address all my questions and concerns even after submission. He’s great and ill definitaly hire him again.”


Research Assistant

Jan 2018

I am working a project which involves object tracking and localization using live video feed from camera which will be used to help visually blind people.

Research Assistant

Apr 2017 - Sep 2017 (5 months)

I was involved in development of a portable, remote respiratory and physical activity monitoring system.


MS Electrical Engineering (Signal Processing and Machine Learning)

2016 - 2018 (2 years)

BS Telecom

2012 - 2016 (4 years)


Neural Networks and Deep Learning (2018)



Automatic classification of Atrial Fibrillation from single-lead ECG signals using DCT

Automated differentiation between Normal rhythm and Atrial fibrillation using single-lead ECG signals is a challenging problem under noisy conditions and motion artifacts. In this paper we will exploit discrete cosine transform to design signal processing and machine learning algorithms for automated classification of Normal Rhythm, AF and other sinus rhythms based on single-lead ECG signals.


  • Preferred Freelancer Program SLA
  • US English Level 1


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