Greetings! I am a high school senior and prospective CS major from the northwest suburbs of Chicago.
Having started my coding journey 5 years ago, I now develop full-stack applications for web and mobile platforms.
I also enjoy creating cool and exciting programs such as games, bots, and simulations.
Currently, I have taken a break from my 3-year long journey of self-learning Artificial Intelligence/Machine Learning and am now co-developing a website for math students and teachers.
In my free time, I love competing in hackathons and math contests.
I also enjoy traveling, exploring, and taking pictures of nature.
Whenever I'm not coding, I can be
found playing basketball, playing Minecraft, or reading a thoughtful book.
For HackMIT 2020, a virtual hackathon hosted by MIT with over 1600 participants and 400 projects, I worked with three other high
school students to create Buy or $hort, a fast-paced financial literacy game. By comparing long term and short term factors for a stock,
the user (a child, teen, adult, or senior citizen) learns how to safely invest in the stock market. The game is full of unique data visualizations, vibrant UI, and much more!
For a 7 week summer internship, I led a team of students and created an AI-driven, multi-platform,
and scalable attendance system. The system uses a website, IoT device, API, and facial recognition to provide
an efficient and resource friendly method of taking and managing attendance. We only created a prototype, which had
state of the art results and the potential for true impact.
In order to help prevent the adverse effects of office work to people’s health, I created HealthDESK, a website that uses
AI technologies and webcam data to determine and notify you when you have poor desk habits.
ThinkPos provides people with a platform to spread positivity through personal quotes.
We provide a user-friendly platform where unique individuals can
share their beliefs, ideas, and opinions on all kinds of issues that are prevalent in our lives today.
My submission to the WWDC 2020 Swift Student Challenge:
An interactive maze solvable using block code, targeting towards young students that are learning
computer science and coding for the first time. The goal of the maze is to collect soap
and a mask and then beat the COVID-19 character. At the end, there's even tips on
coding and staying healthy!
Due to the COVID-19 pandemic, I helped create a website that targets quarantined people and remote workers. The website involves a
face touch reminder, live news and statistics, and memes!
The website was one of the winners in the EUvsVirus hackathon, an international hackathon with over 30,000 participants and 2100 submissions.
A revolutionary iOS app that helps local food pantries save time and energy when
serving families by keeping track of inventory,
allowing for quick checkouts, keeping track of statistics,
and sending push notifications.
A web app that uses a login system and AI to keep track and solve calculus problems. Main feature is its handwritting recognition,
done by a convolutional neural network. My final project for the first semester of Mobile Apps.
Given three topics, you have to draw them well enough for the trained neural network to guess what the drawing is. If it guesses it, you earn points.
Else, you lose! The AI for the game was trained using neural networks created from scratch.
This is a sorting game involving ordering each side of a cube in lightness and darkness. Tap and swap the tiles as fast as you can, but remember there are hints if it gets too hard. Most importantly, be able to see what colors are dark and light.
This is my second project with the NEAT algorithm, which is a combination of neural networks and genetic algorithms. The project combines Doodle Jump with the learning algorithm to jump as high as possible.
This is a combination of Flappy Bird with an AI. The AI is made by the NEAT algorithm, which is a combination of neural networks and genetic algorithms. This was my submission to the 2019 D211 Hackathon project, and won 1st place in the Advanced division.
Brainy Aliens is a classic shooter type game, but with a twist. The targets, aliens, are able to get smarter at dodging your bullets through the combination of the genetic algorithm and neural networks. Play the game to see this in action!
Also known as Reversi, two players try to dominate the board with your own color. Flip the other player's tiles and take control of corners in this strategy based game. This version involves an AI that knows every possible move and is unbeatable(most of the time)!
Based off of the famous knapsack problem, this iOS game is about filling your own knapsack with the most gems without dying. Beware, as it is a competition between other miners who can solve the problem using a genetic algorithm!