ABOUT

My name is Ahmed Elsheshtawy. I am an Electrical Engineering student at Qatar University on an Admission Scholarship. with a strong interest in practical applications of communication systems and power electronics. I am currently in the early stages of my Electrical Engineering degree and look forward to developing deeper expertise in communication systems and power electronics as I progress through my coursework. Additionally, I am quite interested in exploring how electrical engineering connects with other disciplines, especially mechanical engineering, to develop innovative, real-world solutions.

EDUCATION

Qatar University

January 2025 - June 2029

B.Sc. in Electrical Engineering

GPA: 3.95/4.0

Achievements:
Received a fully funded Academic Admission Scholarship On the Vice President's List (December 2025 - Present.) On the Dean's List (June 2025 - Present.)

Let's connect

For opportunities, project inquiries, or collaboration, feel free to reach out via email:

PROJECTS

WEB DEVELOPMENT

Featured Project

Humanitarian AI Observatory

December 2025
Case Studies Section Ethics Section Contact Section Resources Section Data & Analytics Home Page

I developed a full-stack observatory that was part of a collaboration between Qatar University and the British Embassy in Qatar. The observatory features aggregation of many Ethical AI Policies, Case Studies, and Resources. In addition, it includes Data & Analytics of important trends regarding the growth of Humanitarian AI in the MENA region. There is also Musaaed, your personal AI Assistant that will help you overall with your experience. The website also features AI scraping and an Admin Page to manage pending content.

Technologies: HTML, CSS, JavaScript, Node JS, Postman, Gemini API, Google API, MongoDB, Vercel, GitHub
View: View Website
Documentation: View Technical Detailed Documentation
Featured Project

Masdar QU (Qatar University Educational Content)

December 2025
QU Edu Content Home Screen QU Edu Content Course Detail QU Edu Content Submit Course QU Edu Content Submit Resource QU Edu Content About Page

I developed Masdar, a comprehensive educational content platform for Qatar University. This platform allows users to browse courses, view detailed course information, and submit new educational content and resources. The application features a clean, intuitive interface with dedicated sections for course browsing, course details, and content submission.

Technologies: HTML, CSS, JavaScript
Features:

Course Browsing, Course Details View, Submit Course, Submit Resources, About Page

View:
View Website
Documentation:
View Documentation

UNITY ENGINE

Endless Carnage

February 2022
Endless Carnage gameplay Endless Carnage gameover screen

2D Platform Shooter Game made with Unity!

Technologies: Unity Engine, C#
Features:

Health system, Projectile system, Enemy Path System

Download: View on Itch.io

Double Endless

February 2022
Double Endless gameplay Double Endless screenshot

2D Runner Game made with Unity!

Technologies: Unity Engine, C#
Features:

Score System, Enemy System, Projectile System

Download: View on Itch.io

MOBILE APP DEVELOPMENT

Featured Project

Ni'ma

January 2026

Ni'ma is our Start-up Idea. I developed a mobile application and Restaurant Dashboard for Ni'ma. The mobile app shows nearby restaurants using GeoJSON calculations and their surplus deals. For now, you can order Cash Only. The restaurant Dashboard provides all capabilities in order to connect with the customers.

Frontend: React Native, HTML, CSS, JavaScript
Backend: Node JS, JWT, Bcrypt, Async Storage
DataBase: MongoDB
Tools & APIs: Postman, GeoJSON, Google Maps
Features:

Order Deals, Rate Restaurants, Personal Profile, Restaurant Dashboard, Restaurant Management System

Official Page: nima.qa
View: View Documentation

Machine Learning

Featured Project

ML Quadratic Equation Mimicking - Improved

January 2026

Improved version of my previously implemented ML model that mimicks the function f(x) = x2

Technologies: Python, NumPy
Concepts: Matrices, Dot Product, Mean-Squared-Error (Loss function), Gradient, Gradient Descent
Results: This model did much better as opposed to the previous model, which wasn't performing well. I successfully increased the complexity of this model by designing a model with 4 main layers. 1st layer is the input, which is a single neuron for a single number. 2nd layer consists of 4 neurons with Sigmoid Activation. 3rd layer is exactly as the 2nd layer. Finally, the 4th layer is a single neuron with a single output that predicts the corresponding output for the input x.
View: View on Github

ML Quadratic Equation Mimicking

January 2026

Made a basic ML model with 4 neurons, where the model is trained on predicting the outputs of the function of y = x2

Technologies: Python
Concepts: Mean-Squared-Error (Loss function), Gradient, Gradient Descent
Results: The model performed horribly due to insufficient complexity. Meaning, the model found a good local minima that minimized its loss (~13856.675), but the loss couldn't go down from there and therefore the model couldn't model the function x2. In addition, the reason I didn't increase the number of neurons is due to having a variable for every weight, activation, bias, and gradient, which makes the process of calculating forward propagation and backpropagation quite difficult. This suggests that I should use a library that offers matrices manipluations like NumPy. Nevertheless, this was an amazing experiment to get to know deeply how NNs work
View: View on Github

ML Linear Regression

January 2026

Made a very basic ML Model that predicts slope and y-intersect of a linear function using linear regression. Made this as a practice to improve my knowledge in ML.

Technologies: Python
Concepts: Mean-Squared-Error (Loss function), Gradient, Gradient Descent
Results: The model succeeded in mimicking the function y = 4x + 5 successfully, predicting outputs that are really close to the correct ones after 100 epochs
View: View on Github

TERMINAL BASED

To-Do List

August 2025

Keep track of your tasks. Tasks are stored on a local text file. Made using C++.

Technologies: C++
Features:

Adding, Removing, Editing Tasks

Sorting Tasks According to Date

View: View on Github

NEWSROOM

Attended the Final TWG Workshop in the Leading Humanitarian AI Initiative
31 May, 2026

Dean's List Award Image
Attended the Final TWG Workshop in the Leading Humanitarian AI Initiative in Collaboration between Qatar University and the British Embassy in Qatar. It was an amazing experience where we got to meet with many experts in the field of Humanitarian AI, and we got to share our insights and experiences in the field as well. I am so grateful for being part of this amazing initiative and I am looking forward to seeing how it will grow in the future.

Received Dean's List Award
30 April, 2026

Dean's List Award Image
Received the Dean's List Award for outstanding academic performance.

Attended a ML Condensed Course at QU
8 January, 2026

ML Workshop Image
In this condensed course, we studied the basics of Machine Learning. We covered various topics, from types of learning (Supervised, Unsupervised, Reinforcement), DNNs, CNNs, RNNs (Like LSTMs), Word Embedding, Encoding, Decoding, and Transformers. We also got the chance to apply this theoretical knowledge with Laboratories where we learned basic API of NumPy and TensorFlow/Keras.

Participated at the Qatar Health Tech Hackathon 2025
4 December, 2025

Healthtech Hackathon image 1 Healthtech Hackathon image 2 Healthtech Hackathon image 3
We developed Dalil, your guide for lab test preparation. Lab test failures cost hospitals approximately $450,000 annually, with 95% occurring in the pre-analytical phase due to miscommunication and language barriers. Dalil solves this by providing patients with clear, multilingual instructions and educational visual graphics, ensuring they properly prepare for tests and reducing costly errors.
The full project is available on my Github page.

1st PLACE WINNER OF AIX HACKATHON 2025! ($5000)
6 November, 2025

AIX Hackathon Winner AIX Hackathon Winner AIX Hackathon Winner
Won 1st place with my team Binary Brigades at the AIX Hackathon 2025 organized by risin ventures at QSTP.
We developed an AI copilot (using Gemini 2.5 pro) that automates investment opportunity analysis for QDB. The solution provides comprehensive reports including key strengths, weaknesses, market position, and competitor analysis, significantly reducing evaluation time and cost.
The full project is available on my Github page.

EXPLANATIONS

Why do we use Imaginary Numbers in AC Circuit Analysis?

May 2026

Where did Imaginary Numbers Come From in AC Circuit Analysis? Watch as I uncover the mathematical origins and practical applications of imaginary numbers in alternating current (AC) circuit analysis.

PDF Explanation
Download PDF
Video Tutorial

Coming Soon

RESEARCH

Seeking research opportunities in Embedded Systems, Power Electronics, ML, and Communication. Interested in projects involving hardware-software integration, and autonomous systems. Building foundational skills through Arduino projects and self-directed learning while progressing through Electrical Engineering coursework.