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Rawan Lazkani

Machine learning engineer

Works remotely from Cairo

  • 30.0488
  • 31.2436
  • Suggested rate 30 € / day
  • Experience 2-7 years
Propose a project The project will begin once you accept Rawan's quote.

This freelancer is available full-time but hasn't confirmed their availability in over 7 days.

Propose a project The project will begin once you accept Rawan's quote.

Location and workplace preferences

Cairo, Egypt
Remote only
Primarily works remotely


Project length
  • ≤ 1 week
  • ≤ 1 month
  • Between 1-3 months
  • Between 3-6 months
  • ≥ 6 months
Business sector
Would prefer:
  • Architecture & Urban Planning
  • Arts & Crafts
  • Automobile
  • Aviation & Aerospace
  • Banking & Insurance
+42 autres
Would prefer to avoid:
Wine & Spirits
Company size
  • 1 person
  • 2-10 people
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
+2 autres


Freelancer code of conduct signed
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Verified email



  • English


  • Arabic

    Native or bilingual


Skills (8)

Rawan in a few words

I am a machine learning engineer who is passionate about AI applications especially in computer vision. I have more than 3 years of industry experience in computer vision and deep learning.
I joined projects such as detection, recognition with tools like opencv, python, tensorflow and deeplearning architectures




Machine learning engineer  - As a freelancer

January 2021 - Today (2 years)

Project: Detecting Pathologies Through Computer Vision in Ultrasound.
Project URL :
My rule as machine learning engineer includes exploring different detection, classification and segmentation deep learning models then training, testing and validation of these models and contribute in finding the best solution for this problem.



Computer vision engineer

June 2017 - April 2020 (2 years and 9 months)

I got involved in several projects like Human detection, car plates recognition and parking lots
My role included building and testing state of the art deep learning models, Testing the model against
real data and optimizing models to get best accuracy in fastest inference time.
I used tesnsorflow, keras, caffe deep learning frameworks. and used C++, python as a programming