Abdelkoudos Elmiggabbar

Experience

• 

  Faculty of Computer and Information Science, Ain Shams University

  Apr 2021 - May 2021

  I worked on Computer Vision Project that builds deep learning models that can diagnose autism disorder in children from their face. I used TensorFlow to make sequential models and Convolutional Neural networks: Max pooling, Conv2D, Dese Layers. I worked in RSA public-Key Cryptosystem Algorithim. I manipulated "BigIntegers" which are numbers that take storage more than any data type can handle. Then applied to it the following functions: Efficient Multiplying, DivMod, ModPower two BigIntigers. I Applied Kartsuba Algorithim in the multiplication part to reduce the complexity From O(N^2) to O(N^1.58) I implement the K-NN Algorithm to observe its behavior in various K's Using Python. I used Numpy and matplotlib. Also I implemented

  • Neural Networks (3rd Year Project)

    Apr 2021 - May 2021

  • Algorithms (3rd year Project)

    Apr 2021 - May 2021

  • Machine Learning (3rd Year Project)

    Apr 2021 - May 2021
• 

  Orascom Construction PLC

  Aug 2021 - Sept 2021

  Frontend Developer

  I contributed to building a website for the "mass transportation" project. I used Angular 11.0.7 to Assign, View, or Remove auditors by their emails. I used angular materials to apply Autocomplete and other features. Also used Reactive forms.

• 

  Faculty of Computer and Information Science, Ain Shams University

  Apr 2023 - Apr 2024

  Engaged in research and exploration, initiated data collection and preprocessing through scraping various sources including ImageNet, and implemented model development using BigGAN and Augmented CLIP architectures. Utilized Anvil website for seamless interface development, ensuring smooth user interaction. Utilized image enhancement for low-light conditions, conducted indoor/outdoor image classification, and employed deep learning for object detection across multiple classes. Additionally, integrated object tracking with bounding boxes and unique IDs for comprehensive scene analysis and monitoring in dynamic environments.

  • Visionary Contextual Synthetics (Graduation Project)

    Apr 2023 - Apr 2024

  • Visionary Scene Analyzer with YOLO and ID Tracking (4th Project)

    Apr 2023 - May 2023