CRAFTINGTHE FUTUREONE LINE AT A TIME
Where innovation meets execution
Khaled Tahoon
Software Engineer | Artificial Intelligence Developer | Full Stack Developer
About Me
Passionate about creating innovative solutions that bridge the gap between complex problems and elegant code
My Journey
I'm a passionate software engineer and computer science student with a deep fascination for how technology can transform ideas into reality. Currently pursuing my Bachelor's in Computer Science (Software Engineering) at UTM, I'm dedicated to mastering the art of building applications that not only function seamlessly but also create meaningful impact.
My journey in tech began during the COVID-19 pandemic in 2020, when I first started learning to code. I began with Swift, then explored Flutter, web development, and Python. This curiosity eventually led me to pursue my degree at UTM, where I've continued to grow as a developer.
Along the way, I've also developed a strong interest in artificial intelligence. With the rise of tools like ChatGPT, Gemini, and Claude during my university years, I became fascinated with AI's potential and started diving deeper into it. I'm excited to keep learning and contributing in this space.
When I'm not coding, you'll probably find me watching a movie or a TV show—or brainstorming the next big idea that could change how we interact with technology.
Education
Bachelor of Computer Science
Software Engineering
Universiti Teknologi Malaysia (UTM)
Currently Pursuing
AI Diploma
Artificial Intelligence & Machine Learning
Instant Software Solutions
Currently Taking
What Drives Me
Innovation
Problem Solving
Clean Code
User Experience
Open Source
Continuous Learning
Skills & Expertise
A comprehensive toolkit built through continuous learning and hands-on experience
Mobile Development
Flutter
DartProgramming Languages
Python
C++AI & Machine Learning
Machine Learning
Deep Learning
Computer VisionBackend & Database
SQL
FastAPITools & Technologies
Docker
ElectronAdditional Technologies & Tools
PROJECTS
Our work is the product of careful analysis, creative thinking, and a commitment to excellence.
EXPLORATORY DATA ANALYSIS
A comprehensive EDA pipeline on financial transaction datasets, covering data extraction from PostgreSQL, cleaning, preprocessing, outlier detection, feature engineering, and advanced visualizations.
EXPLORATORY DATA ANALYSIS
Financial Transaction Dataset
The Story
This project was born from the need to understand complex financial transaction patterns while providing meaningful insights through advanced statistical analysis and visualization techniques.
Key Features
- Data extraction from PostgreSQL databases
- Data cleaning and preprocessing
- Advanced outlier detection and treatment
- Feature engineering for users, cards, and transactions
- Interactive data visualizations with Matplotlib & Seaborn
- Export to SQL for downstream analytics and Power BI dashboards
Technologies
BRAIN TUMOR AI DETECTOR
An AI-powered web application for detecting and segmenting brain tumors in MRI images using deep learning models. Features both classification and segmentation capabilities with a user-friendly FastAPI interface.
BRAIN TUMOR AI DETECTOR
Deep Learning for Medical Imaging
The Story
This project began as an exploration into applying deep learning to medical imaging. I wanted to solve a real-world problem: detecting brain tumors from MRI scans. The journey included data preparation, model development, evaluation using accuracy and precision metrics, and deployment into a FastAPI web application with Docker containerization.
Key Features
- Classification: Predicts tumor presence using InceptionV3 transfer learning
- Segmentation: U-Net model generates tumor mask overlays
- Web App: User-friendly FastAPI interface for upload and results
- Deployment: Fully containerized with Docker for cloud deployment
- Stateless API: Processes results without storing patient data
- Visualization: Returns overlay images with tumor highlighted in red
- Logging: Records predictions with timestamps for monitoring
Technologies
AI LICENSE PLATE DETECTOR
An AI-powered license plate detection and text recognition system using YOLOv8 and EasyOCR. Provides real-time license plate detection from video files with high accuracy and a modern dark-themed web interface.
AI LICENSE PLATE DETECTOR
Real-time License Plate Detection & OCR
The Story
This project was developed to solve the challenge of automated license plate recognition from video streams. I implemented a complete pipeline using YOLOv8 for detection, advanced image preprocessing for OCR enhancement, and EasyOCR for text extraction. The system includes smart duplicate detection and CSV export functionality for practical applications.
Key Features
- Real-time video processing with YOLOv8 detection
- Advanced OCR with EasyOCR integration
- Image preprocessing: 3x upscaling, grayscale conversion, Gaussian blur
- Otsu thresholding and morphological operations for text clarity
- Smart duplicate detection with fuzzy string matching
- CSV export functionality for detected license plates
- Modern Streamlit web interface with dark theme
- Configurable confidence filtering (>30% threshold)
Technologies
Blog & Insights
Sharing knowledge, experiences, and insights from the world of software development and technology
Nothing yet, soon perhaps :)
I'm working on some exciting content to share with you. Stay tuned!
Let's Build Something Amazing
Have a project in mind? Let's discuss how we can bring your ideas to life with cutting-edge technology and creative solutions.
© 2025 Khaled Tahoon.
Designed and developed with passion.