A showcase of software engineering and AI projects demonstrating technical expertise and real-world problem solving
Developed a comprehensive Natural Language Processing system for automated food classification and dietary analysis with 95%+ accuracy. Implemented advanced NLP techniques including tokenization, feature extraction, and classification algorithms. Features sentiment analysis for food reviews and nutritional content prediction.
Built a modern, full-featured real estate platform serving the South African property market. Integrated advanced property search with filters, interactive maps, mortgage calculators, and lead management system. Achieved 98+ PageSpeed scores and drove 40% increase in lead generation.
Developed a secure, enterprise-grade international payment processing system handling multi-currency transactions. Implemented CI/CD pipelines with CircleCI, comprehensive unit testing, and code quality analysis with SonarQube achieving 95% code coverage. Features fraud detection and real-time transaction monitoring.
Advanced healthcare analytics dashboard showcasing sophisticated Power BI development skills. Features dynamic DAX calculations with SWITCH functions, MEDIAN/AVERAGE statistical analysis, and EDATE date intelligence. Implements interactive filtering across multiple dimensions with conditional logic and error handling.
Engineered an intelligent AI agent using NEAT (NeuroEvolution of Augmenting Topologies) algorithm that autonomously learns to play Flappy Bird. Demonstrated expertise in evolutionary algorithms, neural networks, and game AI. The system evolves over generations, achieving superhuman performance through genetic programming.
Delivered a professional, high-performance auction website for an established South African auction house. Implemented SEO optimization strategies that improved search rankings by 300%, responsive design for mobile-first experience, and integrated payment systems. Features include auction catalog management, bidding system, and client portal.
Developed a sophisticated machine learning system for predicting vehicle auction outcomes and market analysis. Built predictive models using ensemble methods achieving 87% accuracy in price prediction. Implemented data pipeline processing 10K+ auction records, feature engineering for market trends, and deployed on AWS.
Architected a comprehensive B2B platform connecting agricultural businesses with renewable energy solutions. Built using enterprise-grade ASP.NET Core with Entity Framework ORM, featuring real-time data analytics, supplier matching algorithms, and automated reporting systems.
Developed a feature-rich fitness tracking application leveraging Android's Sensors API for accurate step counting. Implemented SQLite database for local data persistence, Material Design principles for intuitive UX, and background processing for continuous tracking.
Engineered an AI-powered Android application for automated license plate detection and privacy protection using Google ML Kit. Implemented real-time image processing with computer vision algorithms, achieving 99% accuracy in plate detection. Features GDPR-compliant data handling for privacy applications.
Architected a comprehensive desktop application for municipal service management using advanced data structures including AVL Trees. Implemented efficient algorithms reducing query time by 60%, integrated reporting systems, and built user-friendly interfaces for managing citizen requests.
Built a modern Android application for auction house catalog management using Kotlin and Firebase. Implemented real-time data synchronization, image optimization for fast loading, offline functionality, and push notifications with seamless Material Design UI.
Explore the complete codebase, documentation, and technical details on GitHub
This is a static version for search engines and ATS systems.
For the full interactive experience with animations and filtering, visit the main portfolio.