Developed the backend logic and managed database and helped also in frontend development in our capstone project. Our capstone is a social media–based mobile application where users can adopt, redeem, register, and post their pets. It aims to solve the lack of awareness in responsible pet ownership and manual process of pet adoption, redemption, and registration by offering a centralized, user-friendly digital platform for pet enthusiasts.

I developed an automated system that collects gold-related news from multiple sources and uses AI to analyze each article. The workflow combines fundamental and technical insights to generate a daily market summary that highlights key factors and price sentiment. It automatically sends me this report every day via Discord and email, allowing me to stay updated wherever I am. This automation greatly reduced the time I spent on manual research and helps me quickly assess whether gold is favorably positioned at its current price. This project also deepened my interest in AI-driven automation and intelligent market analysis.

Created my own portfolio to showcase projects that I have worked on. I have used Laravel and added a chatbot where you can ask about me or the content of the portfolio.

Developed a to-do list website to help individuals manage daily tasks more effectively. The project was inspired by the common challenges students face in time management, providing features to plan, organize, and track activities efficiently. It have a social login integration through Google of Facebook and will send an email reminder before the task deadline end.

Led and developed an e-commerce website for a client that sells thrift outerwear. The project addressed key business challenges, including limited in-store product visibility, lack of online search and filtering features, and the absence of accessible product descriptions. The website enhanced customer convenience and improved the client's digital presence.

Developed a comprehensive personal trading journal to track and analyze my trading progress. The application allows for detailed trade log entries, enabling me to record key details of each trade such as date, asset, entry/exit points, and profit/loss. Integrated with a calendar feature to easily visualize trade history and schedule future trades. Custom charts provide in-depth analysis of trading performance, while a dynamic dashboard in Looker Studio consolidates key metrics like win rates, average returns, and portfolio performance. This tool allows for data-driven insights to improve trading strategies over time.

Developed an automated attendance reporting system using Appsheet. The app features automated generation of reports and calculations in summary, with role-based access to ensure secure and customized data views. It includes audit logs for tracking changes and activities, automated email notifications for updates, and QR code scanning functionality for easy and efficient attendance tracking. Additionally, I created a dynamic dashboard in Looker Studio to provide detailed analysis and insights into attendance patterns, helping to identify trends and improve management decision-making.