Ahmed M. ElShal, MSc

Artificial Intelligence Engineer at Egyptian space agency
  • Claim this Profile
Contact Information
us****@****om
(386) 825-5501
Location
Egypt, EG
Languages
  • English Professional working proficiency
  • Arabic Native or bilingual proficiency

Topline Score

Topline score feature will be out soon.

Bio

Generated by
Topline AI

You need to have a working account to view this content.
Join now
You need to have a working account to view this content.
Join now

Credentials

  • Deep Learning.AI TensorFlow Developer Specialization
    Coursera
    Aug, 2020
    - Nov, 2024
  • Satellite Communication
    International Telecommunication Union
    Oct, 2017
    - Nov, 2024
  • Powerful presentation skills
    Learne Academy
    Jun, 2017
    - Nov, 2024
  • Valeo Innovation Challenge
    Valeo
    Mar, 2017
    - Nov, 2024

Experience

  • EgSA-Egyptian Space Agency
    • Egypt
    • Aviation & Aerospace
    • 1 - 100 Employee
    • Artificial Intelligence Engineer
      • Dec 2020 - Present

      Designed and developed end-to-end AI models over different satellite platforms to support different decision-makers in various domains inside Egypt. Develop an AI model to monitor artificial satellites and debris from telescope images. Delivered lectures and presentations about Earth observation using AI techniques. Designed and developed end-to-end AI models over different satellite platforms to support different decision-makers in various domains inside Egypt. Develop an AI model to monitor artificial satellites and debris from telescope images. Delivered lectures and presentations about Earth observation using AI techniques.

  • Information Technology Institute (ITI)
    • Egypt
    • Professional Training and Coaching
    • 700 & Above Employee
    • AI Instructor
      • Jan 2021 - Present

      taught technical courses including Machine Learning I, Machine Learning II, and Deep learning. taught technical courses including Machine Learning I, Machine Learning II, and Deep learning.

  • Nile University
    • Egypt
    • Higher Education
    • 500 - 600 Employee
    • Research Assistant
      • Sep 2019 - Oct 2020

      A research assistant at the Wireless Intelligent Network Center (WINC). I'm currently responsible for developing a Meta-cognitive Engine based on Machine learning techniques. The meta-cognitive engine used to enhance the coexistence between the LTE and Wi-Fi technologies in the unlicensed band. A research assistant at the Wireless Intelligent Network Center (WINC). I'm currently responsible for developing a Meta-cognitive Engine based on Machine learning techniques. The meta-cognitive engine used to enhance the coexistence between the LTE and Wi-Fi technologies in the unlicensed band.

  • Affectiva
    • United States
    • Embedded Software Products
    • 1 - 100 Employee
    • Deep Learning Mentor
      • Jul 2020 - Aug 2020

      Emotion Machine Pathway (EMPath) summer internship is a virtual 5-week student educational program. The program will consist of mentored self-paced learning followed by an exciting Makeathon with a focus on the use of Emotion AI solutions in telehealth, videoconferencing, and in-vehicle interactions. Emotion Machine Pathway (EMPath) summer internship is a virtual 5-week student educational program. The program will consist of mentored self-paced learning followed by an exciting Makeathon with a focus on the use of Emotion AI solutions in telehealth, videoconferencing, and in-vehicle interactions.

  • Modern University for Technology & Information - MTI
    • Higher Education
    • 100 - 200 Employee
    • Research Assistant
      • Mar 2018 - Oct 2018

      Developed an ECU to map the output power from a solar cell depending on the temperature and the light intensity. Developed an ECU to map the output power from a solar cell depending on the temperature and the light intensity.

  • HealthCare Dental Solutions
    • Egypt
    • Medical Device
    • 1 - 100 Employee
    • AIEngineer (fall time)
      • Dec 2017 - Jun 2018

      Developed brain MRI tumor segmentation model based on U-Net encoder-decoder deep learning network to segment cancer diseases, this dataset was obtained from The Cancer Imaging Archive. Developed brain MRI tumor segmentation model based on U-Net encoder-decoder deep learning network to segment cancer diseases, this dataset was obtained from The Cancer Imaging Archive.

  • PUZZLE
    • 6 October City, Egypt
    • Embedded System Engineer (part time)
      • Jan 2018 - Mar 2018

      Developing internet of things projects related to car security Developing embedded system education solutions projects Deal with ESP8266 NodeMCU Developing internet of things projects related to car security Developing embedded system education solutions projects Deal with ESP8266 NodeMCU

Education

  • Nile University - NU
    Master of Scinece in Communication and Information Technology (Informatics), Artificial Intelligence
    2018 - 2020
  • EPITA: Ecole d'Ingénieurs en Informatique
    Teach The Teacher (TTT) Training, Artificial Intelligence
    2020 -
  • Udacity
    Self-Driving Car Engineer NanoDegree, Automotive Engineering Technology
    2018 - 2019
  • edX
    Embedded System - Shape The World, Software
    2017 - 2017
  • AL-Safwa High Institute of Engineering and Technology
    Bachelor's degree in Electronics and Electrical Communication Engineering, Excellent with Honor
    2012 - 2017

Community

You need to have a working account to view this content. Click here to join now