Hi, My name's Jonathan
Full Stack Developer & Computer Science Enthusiast
About Me
Hey! My name is Jonathan and I'm a full stack developer with a passion
for computer science. I graduated from University of California,
San Diego with a bachelor's degree in applied mathematics and I
have ample exposure to data science and computer science topics
as well. I particularly enjoy discovering new technologies (especially
ones relating to backend) and learning new computer science
concepts. Check out my projects!
When I'm not on the computer, I enjoy running, cooking, and petting cats :)
Skills
Front End
HTML + CSS, Less + Sass, React/Redux, Vanilla Javascript, Apollo
Back End
RESTful API, Express + Node, SQL/PostgreSQL, GraphQL, Prisma
Computer
Science
OOP - Java & Python, Advanced Data Structures and Algorithms
Check out my résumé!
My Projects (more coming soon)
Rent Tracker
Rent Tracker is a landlord's best friend. It helps the user to keep track of their existing rental properties, as well as tenants of those properties. It also keeps track of payment information, so the user will never forget about collecting rent again.
Rent Tracker's backend is built using Node JS, GraphQL and Prisma, while its frontend is built using React and Apollo.
AdaptivApps
AdaptivApps is created for Angel City Sports, a non-profit organization that hosts atheltic events for youth with disabilities. This app features a calender system that allows user to sign up for, various events and activities, a messaging system that enables smooth communication, and a customuzed social media platform. The app is fully accessible.
AdaptivApps's backend is built using GraphQL, Prisma, and Apollo client. Its its frontend is built using React and Apollo. The app uses auth0 for authentication and is deployed through AWS. It also features Google Analytics and a customized widget for website accessibility.
Pathfinding Visualizer
This is a pathfinding visualizer that is built using React JS, Bootstrap,
and plain CSS! It will be featuring multiple pathfinding and
maze-generation algorithms. More features coming soon!
All animation effects are built using CSS. Some components are incorporated from Bootstrap.
House Price Prediction Model
A data science/machine learning project for a Kaggle competition. My team and I used advanced regression techniques and machine learning methods to devise a model that predicts the prices for properties in Boston.
This project is written in Python. It employs advanced techniques, including LASSO, gradient boosting, and xgboost/cross validation.
