Web Application

I wanted to create a property management web application for my mom. My MVP for the project was to be able to store vacant units that could be filtered and sorted through SQL queries and displayed to the user. In addition, I wanted to allow the homeowner to be able to edit their listing, whether it be to not show it, delete it, or modify certain details which required me to have multiple screens.

Utilized: Typescript, SQL, React Native, Supabase

Philippines Tsunami Comparison

This was a capstone project for my class on ocean modeling where we used Jupyter Notebooks, Python, numerical model from MITgcm, bathymetry data (depth of a body of water) from GEBCO, and initial conditions (temperature, salt, wind, current, etc.) from ECCO. I was interested in the effects of how different factors could affect the frequency of Typhoons and other natural disasters on the Philippine Region. More specifically, I wanted to know if global warming truly affected the frequency of when Typhoons form.
I constructed my model on the Philippines and surrounding regions and ran the model for two separate years, 1998 and 2011, where La Nina occured for both years, in order to decrease variables. I anticipate the model to have an increase in Typhoon activity over the years due to an increase in global temperatures of 0.1°C. In hindsight, I should have chosen a better set of dates as I didn't realize that these two years fell under a global warming hiatus that happened from 1998 to 2014.
I encountered many stumbling blocks while creating my model and plotting out the data. I outlined many of them in the Readme in my Projects folder. Not only that, but my output didn't align with logical reasoning either. In my conclusion notebook, I noticed that there were too many dips in the Sea Surface height which didn't align with the corresponding year's tsunami count, and the temperature that was modeled weren't following the Philippines temperatures for that year either as it showed a large decline from January to April and the average temperature was too low for the Philippines throughout the year.
While there were many issues that I faced, with many of them resulting from my own inexperience, I learned a lot through my journey, from learning how to navigate and utilize my school's computing cluster through the terminal, but also deepening my understanding of the ocean and its diverse systems through working with ocean datasets and with tools used in ocean modeling such as bathymetry mapping and open boundary condition setup. This project taught me how to approach large environmental datasets, break down complex computational workflows, and better appreciate the intricacies of regional ocean circulation.

Utilized: Python, Jupyter Notebook, MITgcm, General Bathymetry Chart of the Oceans (GEBCO), Estimating the Circulation and Climate of the Ocean (ECCO), Spartan Cluster (High Performance Computing System)

Skincare Mobile App

LifeTone is a university capstone project aimed at making personalized skincare advice more accessible and affordable. The app combined AI-powered recommendations, facial analysis, and a user-friendly interface to provide tailored skincare solutions that were previously out of reach for many due to high costs or exclusivity. I learned a lot during the project, from using React Native and Javascript for the first time, to creating our own machine learning model to generate product recommendations.
Currently the team and I are working towards getting our paper submitted into the CSCSU (Computer Science Conference for CSU Undergraduates).
UPDATE: Our paper was accepted to the 2025 CSCSU Undergraduate Conference!

Utilized: React Native, Figma, Supabase, Gemini API, Face Analyze API

Web Application creating an email/localhost chat room.

A group class project that introduced me to Python Flask and SQLAlchemy. Learned a lot about collaboration and the development process.

Utilized: Python, HTML, CSS, REST API, SQL

Proof of Concept Project - Cloud Database and Javascript Webapp

Small project using a cloud database that successfully updates on other devices with basic functionality such as adding or removing items, and increasing the 'inventory'.

A project for Headstarter AI. Learned a lot about utilizing a cloud database and Material UI components.

Utilized: Firebase, Next.js, Material UI

Dragonboat Team's Website

Created a quick website using an online template from https://html5up.net/. Added a photo gallary and results page.

Utilized: HTML, CSS

Github of this website! Updates irregularly.

My first project that I made from scratch using inspiration from other websites like Keita Yamada or Jack Jeznach.

Utilized: HTML, CSS