Portfolio
A selection of work across static sites, WordPress themes, and modern web apps.
Web application I help develop and maintain through my client. Work includes feature updates, blog content generation, multi-language localization, and SEO optimization. Hosted on Firebase.
59+ vanilla HTML/CSS/JavaScript tourism and attraction guide websites across 20+ countries. I help with development, maintenance, and deployment under my client, who mainly maintains these sites.
WordPress theme work under my client: converting HTML/CSS to themes, and customizing 9+ themes from Figma and other sources. I help with development, maintenance, and deployment; my client mainly maintains the sites.
A full-stack inventory management system for tracking products, stock levels, and automated reorder notifications. Built with Next.js, Prisma, Tailwind CSS, and TypeScript with comprehensive testing using Cypress and Electron desktop app support.
An internal MVP timesheet management system developed as an inhouse web application during my internship at Jairosoft. Demonstrates full-stack thinking and rapid prototyping for employee time tracking and billing.
A Figma UI/UX design prototype for a comprehensive payroll application. Features interactive prototypes demonstrating employee management, salary calculations, and real-time dashboard functionality.
A Figma UI/UX design prototype for a construction worker marketplace platform. Interactive prototype showcasing job matching, worker profiles, messaging, and payment integration flows.
A mobile recipe application design featuring splash screen and mobile interface prototypes. Interactive Figma prototypes showcase app onboarding, recipe discovery, and user experience flows.
A progressive web app (PWA) built with vanilla JavaScript and local storage, featuring offline functionality and synchronization capabilities.
A machine learning project implementing LSTM (Long Short-Term Memory) neural networks for time series prediction with exponential growth patterns. Demonstrates deep learning fundamentals using TensorFlow and PyTorch.
Low-level systems programming project demonstrating x86-64 assembly language fundamentals and system-level optimization techniques. Covers computer architecture, memory management, and performance optimization.