Rezq M.

AI Entwickler

Rezq is a passionate software engineer, specializes in developing efficient machine learning models. Rezq worked on many academic projects using Python, Matlab, and C+. He is proficient in Data Structures and Algorithms, Object Oriented Programming,

Ready to join in ASAP Availability : Full time

Related Experience


  • Python – Bones X-Ray Classification and abnormality detection.

The System depends mainly on Two Stages, First Stage: Take an input X-Ray image of the upper extremity part of the body then enhance the image to show the details in the bone better, then take the enhanced image to a Deep Learning model to classify its type into one of 7 types whether it is [Shoulder, Humerus, Elbow, Forearm, Wrist, Hand or Finger].

Second Stage: We have 7 different Deep Learning models (one for each Bone), So depending on the bone type that is predicted in the first stage we take the enhanced image in the first stage to its corresponding model (based on the predicted bone type) to predict its condition whether it be a normal or abnormal Bone.

  • Python – Car brand and model detection.

Image Classification based on the contextual data of the image. Firstly we applied several data preprocessing, for example: cropping the cars using it’s boundary boxes then applying many data augmentation techniques: Flipping with Fixed degrees,
Noise addition and Applying Grayscale to the images. After that, we train different models: using a CNN architecture and Pre-Trained VGG Model.

  • Python – Gender and facial expressions recognition. 

This project aims to learn how to detect a human face from a recorded or-real video (live cam) and recognize the gender of the human and his/her facial expression. Using multiple feature extraction techniques (HAAR cascade, HoG and HoF Descriptors) and for classification phase: CNN and SVM.

  • Matlab – Image processing of Super Mario. 

Make a computer play game based on image processing techniques, without using any keyboard keys. Creating a set of frames for each Move/Action. First the computer analyze the scene to detect and recognize the location of (Mario, Coins, Enemies, Blocks, Castle) then the computer starts to make a strategy to pass the level given these information, with the goal to collect all coins detected in the level and finally go to the castle to pass, if there is an enemy in his way he should kill it first by
using the attack action.

  • C Sharp – Image encryption and compressing. 

Encrypt images by applying LFSR algorithm and compress them by using priority queue data structure and vice versa ( Added more Powerful features to Strength the Power of the encryption by encrypting the text key and password then converting them to their corresponding ASCII binary representation).

  • X86 Assembly – Inline Assembly Emulator

Designing small compiler for Assembly Language with combining instructions like (INC, ADD, SUB, MOV, MOVZX, MUL, DIV, call dumpregs, call write int ) using EAX, EBX, ECX, EDX, ESI, EDI, ESP, EBP registers.


Languages :

Python, C, C+, Matlab, C Sharp

Frameworks :

Pandas, Keras, Tensorflow


Bachelor’s Degree in Computer Science, Ain Shams University (2019)

More Info

Achievements and Awards: 

  • 1st Place, In Deep Learning Course project.
  • 1st Place, In Digital Signal Processing Course project.
  • 1st Place, In Computer Vision Course project.
  • 1st Place, In Operating Systems Course Project.
  • 1st Place, In Algorithms Course Project.
  • 2nd Place of Top students In Neural Networks Course
  • 4th Place of Top students In Operating System Course.

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Data Structure Keras Matlab Python Tensorflow
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