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 or phone:

NI'MA

Qatar's First Food Rescue App

Ni'ma is our start-up, soon launching as its own company. The platform connects people with surplus food from Qatar's best restaurants at up to 70% off before it goes to waste. I built the full-stack system behind it — the customer mobile app, the restaurant partner dashboard, and the admin dashboard that powers the whole operation. Read more at nima.qa.

PROJECTS

WEB DEVELOPMENT

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

Machine Learning

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

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

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

NEWSROOM

Humanitarian AI Observatory Published on Qatar University's Official Website
26 June, 2026

Dean's List Award Image Dean's List Award Image
Proud to share that the Humanitarian AI Observatory is now live on Qatar University's official website. This initiative is led by Qatar University, the British Embassy Doha and FCDO Services, the Ministry of Foreign Affairs (MoFA), and the Qatar Fund for Development (QFFD). I collaborated with Dr. Diana Maddah, the project's team lead, and served as the technical lead. I designed and built the entire platform myself. The observatory centralizes 150+ global AI ethics papers/reports and 200+ implementation case studies of AI in the humanitarian field, with data visualization and analytics to surface trends across this data. It includes a dedicated Qatar section covering humanitarian AI implementations and ethical policies published locally, an admin dashboard for managing platform content, and Musaaed, an AI assistant embedded in the platform that helps users browse content and ask questions about what's available. Grateful for the collaboration, and excited to see where this goes.

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

Aircraft Launcher

July 2026

Ever wondered how a fighter jet goes from 0 to 250 km/h in just 2 seconds? In this video, I break down the electromagnetic aircraft launch system (EALS), and trace it all the way back to F = IL × B, the fundamental force law governing current-carrying conductors in magnetic fields. I also explored briefly the use of the same concept in Rail Guns, which is a pretty interesting technology.

Video Tutorial

Why does Integration Yield Area Under the Curve?

June 2026

Actually, its much simpler than you think. It all starts with an inequality that states that the actual area is bigger than the lower limit's area, and is smaller than the higher limit's area. After that, its just a pattern skill to know that you should take the limit of h going to 0.

Video Tutorial

Making a Machine Learning Model on a WhiteBoard

June 2026

This tutorial walks you through the process of creating a simple machine learning model on a whiteboard. This model is a simple line with slope m and y-intercept b (bias). In this explanation video, I dive deep into how this connects with real world models, like Computer Vision for example.

Video Tutorial

Gradients & Their Machine Learning Applications

June 2026

Gradients are a fundamental concept in mathematics and machine learning, representing the rate of change of a function with respect to its input variables. In machine learning, gradients are used in optimization algorithms like gradient descent to update model parameters and minimize loss functions.

Video Tutorial

What is Node Voltage?

June 2026

Node voltage is the voltage difference between a node and a reference point (usually ground) in an electrical circuit. It's a fundamental concept in circuit analysis, particularly when using nodal analysis to solve complex circuits. However, it is often not explained clearly in introductory courses. I explained it clearly in descriptive terms.

Video Tutorial

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

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.