Building impactful software with Java, Python, Machine Learning, Power BI, and full-stack technologies.

I'm a Computer Science student based in Malaysia with strong interests in:

• Software Engineering
• Python Development
• Machine Learning
• Data Analytics

I enjoy building projects that solve real-world problems, especially in areas like misinformation detection, health-related machine learning, social impact software, and business intelligence dashboards.

• Building full-stack web applications
• Developing Java desktop applications
• Creating machine learning systems for practical use cases
• Designing interactive dashboards for decision-making
• Turning ideas into polished, deployable software products

A full-stack fact-checking application that detects fake news and misinformation using rule-based detection and machine learning models.

Highlights

• Content verification for articles and URLs
• Hybrid detection using rules + machine learning
• Per-item verification management
• Real-time REST API endpoints
• Responsive UI for mobile and desktop
• Docker-ready and deployment-friendly

Tech Stack
React 18, TypeScript, Vite, Tailwind CSS, React Query, Express.js, Drizzle ORM, SQLite, Node.js, Docker

🔗 Live Demo: fact-check-fgi6.onrender.com
📂 Repository: Fact-check-application-for-competition

An end-to-end machine learning application for diabetes risk assessment using clinical indicators and explainable AI.

Highlights

• Built an end-to-end ML pipeline for diabetes risk prediction
• Achieved 85% accuracy and ROC-AUC of 0.85
• Engineered features from glucose, BMI, and blood pressure data
• Developed a production-ready Streamlit web application
• Added bilingual support (English / Malay)
• Implemented SHAP explainability for feature importance

Tech Stack
Python, Scikit-learn, XGBoost, Pandas, Streamlit, SHAP, Git

🔗 Live Demo: diabetes-prediction-xgboost
📂 Repository: diabetes-prediction-xgboost

A Java-based application focused on matching beneficiaries with livelihood opportunities through intelligent workflows and user-centered design.

Highlights

• Skills-based matching workflow
• Analytics dashboards and CSV export
• Enhanced UX with theming and keyboard shortcuts
• Auto-save and overlay-based interactions
• Cross-platform packaging for usability

Tech Stack
Java 17, JavaFX 21, Maven, Gson, Ikonli

📂 Repository: liftup-application

A Power BI business intelligence project built to uncover actionable insights from real-world delivery and business performance data.

Highlights

• 3-page interactive dashboard
• 6,000+ row dataset analysis
• 20+ DAX measures
• Revenue, churn, and delivery performance insights
• Drill-down hierarchies and what-if modelling

Tech Stack
Power BI, Power Query, DAX, Data Modelling, GitHub

📂 Repository: Foodpanda Analysis Dataset 2025

• Building impact-driven software products
• Advancing in software engineering and system design
• Creating practical AI/ML and analytics solutions
• Developing projects that combine technical depth + real-world value

• 3rd Place — CityU FusionX Hackathon
• Dean’s List Award
• Certifications in AWS, Google, Kaggle, Cisco, AI, Machine Learning, and Python

• GitHub: rashidriyadh714-dev
• LinkedIn: rashid-riyadh

Build solutions that matter.
Make software useful, intelligent, and meaningful.