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Mohammad Amjad Al-Fetyani

I’m a Data Scientist, Full Stack Developer, Mechatronics Engineer

This website is still in progress..

About Me

I am Mohammad Al-Fetyani, born and raised in Amman, Jordan. I completed my undergraduate studies from the University of Jordan in June 2020 majoring in Mechatronics Engineering. I have rich experience in artificial intelligence, especially in natural language processing and computer vision. In my spare time, I love to create educational content and share it with the world.

  • Main Interests
  • Computer Vision
  • Natural Language Processing
  • Deep Learning
  • Object Detection
  • Speech Recognition

42

Projects completed

336

Courses completed

10

Nanodegree program graduate

9

Nominees winner

Services

UI/UX design

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Web Development

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Photography

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Looking for a custom job? Click here to contact me! 👋

Experience

Feb 2021 - April 2021

Senior Data Scientist

At Xina AI and focused primarily on natural language processing applications.

Aug 2020 - Feb 2021

Data Scientist

At Xina AI

Sep 2019 - June 2020

Research Assistant

At Hashemite University where I used to develop advanced controllers for drones.

2019 - 2020

Artificial Intelligence Specialist Degree

Graduated from 10 nanodegree programs, which are nearly all of the programs offered by Udacity's School of Artificial Intelligence.

2015 - 2020

Bachelor’s Degree

Bachelor of Science (BSc) in Mechatronics Engineering from The University of Jordan.

Recent Works

  • Everything
  • AI for Healthcare
  • Computer Vision
  • NLP
  • Signal Processing
  • Software Development
Computer Vision

Generate Faces

Generate Faces

Used Deep Convolutional Generative Adversarial Network (DCGAN) to generate new images of faces that look as realistic as possible! You can view awesome samples at this website

View Sample on GitHub


Problem Type: Unsupervised
Used Models: CNN

AI for Healthcare

Pneumonia Detection from Chest X-Rays

Pneumonia Detection from Chest X-Rays

This project culminated in a model that can predict the presence of pneumonia with human radiologist-level accuracy that can be prepared for submission to the FDA for 510(k) clearance as software as a medical device. As part of this project, I described my developed model, the data that it was trained on, and a validation plan that meets FDA criteria.

View on GitHub


Problem Type: Supervised
Used Models:   CNN
Dataset:            NIH Checst X-rays

Pricing Plans

Basic

A Simple option but powerful to manage your business

Email support

$9Month

Get Started
Recommended

Premium

Unlimited product including apps integrations and more features

Mon-Fri support

$49Month

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Ultimate

A wise option for large companies and individuals

24/7 support

$99Lifetime

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Clients & Reviews

John Doe

Product designer at Dribbble

I enjoy working with the theme and learn so much. You guys make the process fun and interesting. Good luck! 👍

John Doe

Product designer at Dribbble

I enjoy working with the theme and learn so much. You guys make the process fun and interesting. Good luck! 🔥

Latest Posts

Get In Touch

Let's talk about everything!

Don’t like forms? Send me an email. 👋