I am a passionate iOS developer and senior in high school. I have built apps by myself, with partners, and for clients. I have been programming in Swift for 5 years and have been working with iOS for for more than 8 years.
My projects have been downloaded in more than 70 countries. Over the course of building them, I have grown familiar with many Apple and third party technologies including Git, CocoaPods, ResearchKit, CoreData, Realm, RESTful APIs, CocoaPods, GraphQL, AWS (Cognito, AppSync, etc.), tvOS, Firebase, Twilio, in app purchases (especially subscriptions), the Spotify SDK, and others.
I originally created Headline TV as a part of my 2016 app of the month project. The tvOS app allows a user to have a slide show of news headlines from a variety of sources (New York Times, United Press International Headlines, TechCrunch, CNN) accompanied by stunning images in the background.
I created TrumpHeadlines in 2017 to explore how media coverage of Donald Trump varies. The tvOS app presents the news in
a simple, easy to read slideshow, and allows a user to select different media sources that they would like to get their news from.
TrumpHeadlines is a significantly modified version of HeadlineTV, my previous app. The main changes are the addition of a link sharing system and the ability to choose different sources that all are shuffled and displayed. The user can also now text themselves the link to the current displayed article by swiping up. In order to text 25 links, the user must pay $0.99, thus introducing a revenue flow. I have also integrated deep analytic metrics to discover how users use the app.
Please note this app is in no way an endorsement of Donald Trump or his administration.
Since 2018, I have been responsible for the ideation, design, and development of the "Marin Academy Daily" iOS and Android apps as well as the backend supporting them. I implemented functionality to make student resources easier to access and increase both school spirit and participation in school events through a highly customizable interface, and custom, server-based notifications. Since I took over the iOS app and built the backend and Android app, usage among students and faculty has increased from 15% to more than 80%.
I was chosen to give a presentation at Marin Academy's Math Night. In it, I describe to a general audience what neural networks are and how they work, then explain how they can generate text. I end my presentation by showing how a computer was able to write a "senior speech," a ~5 minute speech that every MA student must give at some point throughout their senior year. It can be comedic or serious and is a time to reflect on one's experiences throughout high school. They almost always end with acknowledgements to those instrumental to their last four years, followed by a few shoutouts.
Presentation description: "How do our phone keyboards know what word we will type
next? How can a computer write a chapter of Harry Potter, an episode of The
Office, or a Donald Trump tweet? In this presentation, we will dive into the field of
Natural Language Processing and examine the cutting edge of text generation culminating in
generating something of our own."
Joey uses cutting-edge optimization algorithms to increase student efficiency. Given a set of assignments and a student's activities, our proprietary algorithm finds the most efficient way for them to complete their work and renders it in an intuitive weekly schedule.
I have been working on Joey with two partners since Summer '19. I am primarily responsible for integrating our backend with the iOS interface. Additionally, I edit our promotional videos and manage our finances among other duties.
Access to the Joey app is currently invite-only and our waitlist can be joined on our website. Our public launch is set for sometime before Q4 2020.
auxen allows users to host a communal queue that their friends can then join and add songs to play next. It is my most technologically ambitious and time-consuming personal project so far. It uses both the iOS Spotify streaming SDK and Spotify API with an OAuth sign in for music playback. For the backend, auxen relies on Firebase for its database, push and silent notifications, analytics, and deep link capabilities.
Recently, I have been working on MarinTrace, a contact tracing and symptom reporting platform designed for two Marin County schools. I am responsible for the iOS app (native Swift), the web app (a cross-platform PWA), the frontend of the admin dashboard (Python/Flask), and the authentication system (OAuth w/ Google SSO). The iOS and web apps allow members of the community to attest to their lack of symptoms before stepping on campus, optionally report their contacts to more easily facilitate tracing, and report test COVID-19 test results. Certain administrators at the schools can see and act on that data through the admin dashboard. Additionally, I have been the project's compliance liaison, communicating with and obtaining necessary approvals of our platform from various local government agencies.