I’m a developer specializing in real-time multiplayer game development and performance optimization, with experience in Unity, Unreal Engine, and low-latency networking for browser games. My background spans C++, C#, JavaScript, and WebGL, allowing me to deliver smooth, scalable gameplay across platforms. I stand out through my mix of technical depth in AI behaviors, procedural generation, and cryptography, plus proven work on projects like VR applications at Bombardier and custom rendering/game engines. I focus on creating engaging, fast, and reliable player experiences. Employment and project experience Virtual Reality Programmer Intern - Bombardier (Dec 2024 to May 2025) Computer Repair Intern - Casa Technology (2020 to 2021)…

Yahya Bel

I’m a developer specializing in real-time multiplayer game development and performance optimization, with experience in Unity, Unreal Engine, and low-latency networking for browser games. My background spans C++, C#, JavaScript, and WebGL, allowing me to deliver smooth, scalable gameplay across platforms. I stand out through my mix of technical depth in AI behaviors, procedural generation, and cryptography, plus proven work on projects like VR applications at Bombardier and custom rendering/game engines. I focus on creating engaging, fast, and reliable player experiences. Employment and project experience Virtual Reality Programmer Intern - Bombardier (Dec 2024 to May 2025) Computer Repair Intern - Casa Technology (2020 to 2021)…

Available to hire

I’m a developer specializing in real-time multiplayer game development and performance optimization, with experience in Unity, Unreal Engine, and low-latency networking for browser games. My background spans C++, C#, JavaScript, and WebGL, allowing me to deliver smooth, scalable gameplay across platforms.

I stand out through my mix of technical depth in AI behaviors, procedural generation, and cryptography, plus proven work on projects like VR applications at Bombardier and custom rendering/game engines. I focus on creating engaging, fast, and reliable player experiences.

Employment and project experience
Virtual Reality Programmer Intern - Bombardier (Dec 2024 to May 2025)
Computer Repair Intern - Casa Technology (2020 to 2021)

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Skills

Experience Level

C#
Expert
C++
Expert
Python
Expert
GitHub
Expert
Java
Expert
Unity
Expert
Unreal Engine 4
Expert
JavaScript
Intermediate
MySQL
Intermediate
Assembly
Intermediate

Language

English
Fluent
French
Fluent
Arabic
Fluent

Work Experience

Virtual Reality Programmer Intern at Bombardier
May 1, 2025 - August 11, 2025
Developed immersive VR applications using Unity and Unreal Engine with C# and C++. Optimized real-time rendering and game physics for VR environments. Collaborated closely with designers and engineers to implement interactive features.
Computer Repair Intern at Casa Technology
January 1, 2021 - August 11, 2025
Diagnosed and repaired hardware issues for desktops, laptops, and servers. Resolved software conflicts and OS-level issues on Windows and Linux platforms. Performed system upgrades, virus removal, and data recovery. Provided clear explanations of technical issues to non-technical customers.

Education

Bachelor’s Degree at Concordia University
September 1, 2022 - September 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Gaming, Computers & Electronics, Professional Services, Education
    paper PixelCipher

    PixelCipher is a C++ tool that visually encrypts text by converting each character into a pixel color.
    It transforms entire documents into colored patterns that can later be decoded back to the original content.
    Lightweight, fast, and ideal for basic steganography.
    https://www.twine.net/signin

    paper RayCast Renderer

    This project builds a lightweight 3D ray-cast renderer from scratch, following a DIY approach with minimal external libraries. It uses ray tracing to render 2D images from 3D scenes and implements vector math, intersection logic, and parallelism, along with optimizations like sub-camera splitting and async processing.

    https://www.twine.net/signin

    paper Handwritten-Digit-Recognition-with-Logistic-Regression

    Trains and evaluates a logistic regression model for handwritten digit recognition using both scikit-learn’s load_digits (8×8) and MNIST (28×28) datasets. Includes manual parameter tuning, normalization, and dataset comparison. Achieved 99.2% accuracy on load_digits and 92.2% on MNIST, with detailed evaluation via accuracy, F1 score, confusion matrix, and visualizations.
    https://www.twine.net/signin