Information Technology Student · Software Engineering · AI

I am an Information Technology student who builds practical projects in software engineering, artificial intelligence, and computer vision. I enjoy turning real problems into clear, testable, and useful systems.

Open to internships, junior opportunities, and meaningful collaborations in software engineering and applied AI.

I am a fourth-level Bachelor of Information Technology student with a strong interest in programming, artificial intelligence, and practical system development.

My work includes personal projects and two team projects. Fraud Detection with synthetic data and Fitra are the team projects in this profile. The synthetic-data Fraud Detection project was completed by a five-person team, and I was responsible for the project, fraud-detection work, and results analysis. In Fitra, I was responsible for the project and my assigned part.

My Fraud Detection project with real financial data is a separate personal project. It is listed independently from the team project and is hosted under HackingField.

I follow a simple process: understand the problem, design a clear solution, build it, measure the result, and improve it.

flowchart LR
    A[Problem] --> B[Understand]
    B --> C[Design]
    C --> D[Build]
    D --> E[Measure]
    E --> F[Improve]
    F -.-> A

Backend · Architecture · Databases · APIs

Machine Learning · Computer Vision · YOLO · OCR

Git · Docker · Linux · Experimentation

Personal project. A system for analyzing real financial transactions and identifying possible fraud patterns. The work focuses on feature engineering, model development, and results analysis. Hosted under HackingField.

Real Data · Feature Engineering · Classification · Evaluation

Team project. A five-person team project for detecting fraud in synthetic PaySim transactions. I was responsible for the project, the fraud-detection work, and the analysis of the results.

Synthetic Data · XGBoost · Imbalanced Learning · SHAP

Team project. A collaborative project where I was responsible for the project and my assigned development work.

An Arabic news classifier built with natural language processing and Transformer models.

Arabic NLP · CAMeLBERT · Text Classification

A computer-vision pipeline for detecting text regions in historical documents.

YOLOv8 · Synthetic Data · OCR · Image Processing

A web application for processing and improving the readability of Arabic document images.

Flask · OpenCV · NumPy · JavaScript

A three-tier enterprise network lab built with Cisco Packet Tracer.

HSRP · OSPF · BGP · VLANs · VoIP

• Building Intelligent Building Intelligent Systems from First Principles: Why Architecture Beats Complexity

Languages

Backend & Databases

AI & Computer Vision

Tools

1. Problem
2. Understand
3. Design
4. Build
5. Measure
6. Improve

"Simple architecture before unnecessary complexity. Evidence before assumptions. Understand before implementing."