Welcome to my GitHub profile! 👋
I'm Motei Shaban, a Software Engineer, System Architect, and AI Engineer pursuing an M.Sc. in Artificial Intelligence & Machine Learning at Blekinge Institute of Technology (BTH), Sweden.
Originally from 
I am passionate about building scalable enterprise software architectures and engineering end-to-end intelligent AI solutions.
Over the past several years, I have designed and architected enterprise business systems using ASP.NET Core, PHP, SQL Server, Clean Architecture, and modern software design patterns.
Today, I bridge traditional software engineering with modern AI as an AI Engineer, leveraging my Master's studies in Artificial Intelligence and Machine Learning. My technical work spans Computer Vision, Medical AI, Deep Learning Architectures, Unsupervised Anomaly Detection, NLP, Pattern Mining, and Explainable AI (XAI).
My primary focus is architecting production-ready, high-performance software that integrates robust backend systems with deployable Machine Learning and Deep Learning pipelines.
- 🎓 Master's in Artificial Intelligence & Machine Learning at Blekinge Institute of Technology (BTH)
- 🤖 Deep Learning & Computer Vision Systems (E-Commerce Quality Assessment, Grad-CAM Interpretability, Custom CNNs)
- ₿ Financial AI & Unsupervised Learning (LSTM Autoencoders for Anomaly Detection in Crypto Transactions)
- 🏢 Enterprise ERP Platforms & Modular Monolith Systems (ASP.NET Core, DDD & Clean Architecture)
- 🤖 Robotics & Embedded AI (Multi-Robot Leader-Follower Coordination using JetBots & Computer Vision)
- 🌍 Preparing for Software Engineering, System Architecture & AI Engineering opportunities across Europe
- AI Engineering & Deep Learning Pipelines: End-to-end CNN/LSTM architectures, model optimization, hyperparameter tuning, and web app integrations.
- Computer Vision & Explainable AI (XAI): Image Quality Classification, Medical Image Segmentation, Object Tracking, and Grad-CAM attention visualizations.
- Unsupervised Learning & Anomaly Detection: Autoencoders, Time-series feature extraction, and fraud/anomaly detection models.
- NLP & Pattern Mining: Text Classification (TF-IDF), FP-Growth association rule extraction, and interactive decision dashboards.
- Software Architecture & System Design: Clean Architecture, Domain-Driven Design (DDD), Modular Monoliths, and RESTful Microservices.
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🔒 NSL-KDD Network Anomaly Detection
An end-to-end unsupervised network intrusion anomaly detection system on the NSL-KDD dataset comparing Basic and Deeper LSTM Autoencoder architectures against an Isolation Forest baseline. 🛠️ Tech Stack: Python, PyTorch, TensorFlow, LSTM Autoencoder, Isolation Forest, Cybersecurity |
🛍️ E-Commerce Product Image Quality Classifier
A deep learning system classifying e-commerce product image quality into 5 tiers using a Custom CNN (91.49% test accuracy), benchmarked against Transfer Learning models with Grad-CAM interpretability. 🛠️ Tech Stack: Python, TensorFlow/Keras, OpenCV, Grad-CAM, Jupyter Notebook |
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📊 Employee Attrition Pattern Mining
A hybrid ML & pattern mining system (Random Forest, SMOTE, FP-Growth) for predicting employee attrition and explaining risk factors with an interactive What-If dashboard under CRISP-DM. 🛠️ Tech Stack: Python, Scikit-Learn, FP-Growth, SMOTE, Data Mining |
📰 Fake News Detection NLP Pipeline
An end-to-end NLP pipeline for automatic fake news detection using classical machine learning classifiers trained on TF-IDF features, complete with an interactive Gradio web app. 🛠️ Tech Stack: Python, TF-IDF, Scikit-Learn, Gradio, Natural Language Processing |
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🏢 Commerce ERP Architecture
Modular Monolith ERP & E-Commerce Architecture Showcase built with .NET 10 & React, adhering to Clean Architecture and Domain-Driven Design (DDD) principles. 🛠️ Tech Stack: C#, .NET 10, Clean Architecture, React, RESTful API, ASP.NET Core |
🏋️♂️ EasyLifePro Gym Management Platform
Commercial-grade, multi-layered Gym & Sports Academy management platform combining POS sales, fingerprint access control gate relays, customer display rendering, and membership tracking. 🛠️ Tech Stack: C#, Desktop Application, Fingerprint Control, POS, Access Control |
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🌿 Al Arz Corporate Web Portal
Official digital web portal and corporate platform for Al Arz, featuring brand heritage, interactive product catalogs, and bilingual (AR/EN) support. 🛠️ Tech Stack: PHP, Web Application, Responsive Design, Landing Page, Bilingual |
🏛️ CDA Palestine Government Portal
Official Palestinian government web portal for the Commission of Detainees Affairs (CDA). Built on an enterprise Joomla CMS with custom PHP modules and bespoke plugins. 🛠️ Tech Stack: PHP, Joomla CMS, Custom Modules, Government Portal, Bilingual |
- Applied AI & Intelligent Software Architecture
- Deep Learning Pipelines & Task-Specific CNNs
- Computer Vision & Medical Image Analysis
- Explainable AI (XAI) & Association Rule Mining
- Unsupervised Anomaly Detection & Time-Series Graph Mining
- Autonomous Robotics & Edge AI Systems
- AI Engineer / Applied AI Developer Roles
- AI Systems Architect
- Software Engineer / Backend Developer (.NET & Python)
- Machine Learning Engineer / Computer Vision Specialist
- Research Collaborations & Industry-Academic Projects
"Building scalable software architectures today while engineering intelligent AI systems for tomorrow."