During high school, I was able to get an internship with the United States Geological Survey (USGS) as a software developer. During my time there, I built various programs that utilized machine learning that would be useful in identifying recaptured specimens based off images; these were useful when conducting population studies of certain species around the area. Along the way, I also learned new languages such as Python and R, and was happy to get my first taste of "professional" experience.

After my internship ended, my boss offered me a paid contractor position for other projects he had at hand. One of the projects I worked on as a contractor was an app that would be used to capture duck pictures in a standarized way.

This app was built using Dart with the Flutter framework to allow for cross-platform usage, with images being stored via Google's Cloud Storage. In this project, I achieved a significant advancement in both design and code quality; I developed more harmonious, robust, and responsive designs, while also producing code that was notably cleaner and more maintainable compared to my previous work.

This project is from the first Hackathon that I joined, which was sponsored by Northrop Grumman. The challenge for the Hackathon was to build an application using a web scrapper, or create an application that utilized open vision. Together, with 4 other friends, we decided to build a web scrapper application that scrapped Amazon reviews and utilized OpenAI's Da Vinci AI model to determine whether reviews were fraudulent or not.

While our team did not win in this event, I still gained some valuable skills by participating in this event. In terms of technical skills, I learned how to use various web-scraping packages, such as BeautifulSoup. Additionally, I strengthened my frontend development skills. I also learned how to use Flask to create API endpoints in Python.

In terms of soft skills, as team leader of the group, I organized meetings, learned to effectively facilitate conversations, and broke down objectives so our team could work efficiently. Being in the competition also taught me how to manage time with a tight deadline and present work in a clean and concise manner.

The following project was from the Bitcamp Hackathon, one of the largest Hackathon events hosted at the Xfinity Center at the University of Maryland. Cumulatively, over 400 teams competed in a variety of categories. Together, with a friend, we developed a game called Guesser.ai. This game generated random AI images using OpenAI's Dall-E model, and users had to guess the prompt that generated the images. With this application, I was able to win in a Hackathon for the first time, winning the best gamfication hack award.

The app was created using Swift's SwiftUI. The OpenAI API that generated AI images was accessed using Python, so Flask was used to create an endpoint for the Python script that could be called on Swift. The rest was all blood, sweat and tears, but fortunately, it all paid off.

This is a project that I did for a capstone project for one of my university classes. The basic idea behind the app was to allow students to find study groups for their courses. For this project, I used Swift's SwiftUI for frontend development, and Firebase to store the various study groups and metadata related to users.

With this project, I learned how to build apps with Apple's new SwiftUI framework. This project also allowed me to develop my UI/UX skills, with this being one of my most impressive projects in terms of UI design.

This is a project that I am currently working on right now with a friend. In a nutshell, it's a specialized kick starter site for manga and other graphic novels.

Although, I worked on all aspects of the projects, I mainly focused on frontend development. For this project, I used the React framework to build a modern and responsive site that looks beautiful on both desktop and mobile. Client-side and server-side logic was built using JavaScript and the backend utilizes PostgreSQL.

With the Vision Pro hype, I decided I wanted to try out creating an application using the Vision OS SDK. Through this, I learned how to populate and allow users to iteract with 3D models using RealityKit alongside SwiftUI.

The application is now available on the app store: Eye Whac-A-Mole