My software engineering journey is grounded on and continues to build upon hands-on projects. Explore my growing portfolio of applications, products, and services developed since my first lines of code at 14 years old.
Intelligent stock market investing tools for the long-term. View the market's top investments at a glance, browse our vast array of rankings, and construct your personal portfolio with optimal growth versus volatility characteristics. Available on web, and soon mobile!
As my Georgia Tech capstone project, I worked alongside Emory Dept. of Orthopaedics to craft a state-of-the-art utility to identify wrist implant manufacturers from a simple x-ray, allowing surgeons to immediately discover the proper tools and techniques for implant extraction during emergency operations. To optimize accuracy, we leveraged an unsupervised data augmentation pipeline followed by Transfer Learning for inference.
An web-based AI agent that strengthens user experience by intelligently inferring user behavior status given demonstrated page interactions. With these valuable insights, UX-AI encourages sites to dynamically adjust user experience with the goal of optimizing engagement during casual, fast-paced, and distracted browsing sessions.
Evaluating the Effectiveness of Technical Indicators
My final project for Georgia Tech's CS 4641 Course, Machine Learning, taught by Mahdi Roozbahani. Utilizing numerous supervised and non-supervised methods, my team aims to analyze the significance and approximate information gain provided by industry-standard technical indicators by classifying a high-dimensional indicator feature set into various simulated trading strategies.
A highly configurable Bubble UI React.js component, similar to the iconic Apple Watch app layout. This custom element provides a playful and curious feel that trumps dull grid-based webpage layouts. Download this open source package or contribute on GitHub today!
A fully autonomous stock trading system. LSTM-based neural networks continuously learn from historical data using a genetic algorithm in order to produce weekly portfolios optimized for risk and volatility. Even with zero human oversight, account value grows exponentially!
An app that tries to unite a politically divided America. By housing discussion threads for a variety of controversial political topics, Americans from all over the political spectrum can understand each other's perspectives. Awarded as finalist in 2018 Congressional App Challenge.
An investment-assisting tool that utilizes statistical models to infer and visualize trends in S&P 500 stocks. For each symbol in the index, the program parses historical time series data and quantifies the stock's growth potential and volatility. Findings are outputted to CSV and a public, interactive website.
A remarkably user-friendly news app. As the name implies, notable titles can be browsed with minimal effort. With numerous categories and more than 32 world-renowned news sources to choose from, articles are filtered to fit your interests. If a headline just isn't enough, an article description, photo, and the full article are one press away.
A NLP-driven bot with an appreciation for poetry. The bot listens to Twitter's tweet stream, continuously searching for updates that contain the subject "life" and maintain a rhyming scheme when reformatted into a quatrain. Selected tweets are automatically retweeted, giving accidental poets a shoutout on the platform.
A digital art project. This web app provides a means of visualization one's music taste. Users can authenticate with their Spotify account and build creative mosaics from album covers on their playlists. Exporting and printing features come built in!
An experiment in which a new, optimal keyboard for the english language is created and compared directly to QWERTY. The keyboard is generated using Node.js by reading specified text files, developing a markov chain, and using letter-to-letter trends to algorithmically design the key layout. In the end, my keyboard performed with 124% QWERTY's efficiency.
A full-stack project using Node.js and jQuery. The back-end listens to Twitter's stream of incoming tweets. The program continuously parses them for URLs, and algorithmically tracks their popularity. Popular links are sent to the front-end with an API using the Express framework. On the website, users can interact with the moment's most trending links on Twitter
A map application like no other. It uses iPhone's GPS, gyroscope, and a connection to Google's Places API to locate and identify locations within a certain radius of the user's current position. Then, when you select one of these locations, its relative direction and distance are projected over the device's live camera feed, effectively tracking the location in real time.
A simple arcade game app for casual players of all ages. The game's objective is to protect the black square from the red balls at all times. Strategically orient the square in order to ricochet the blue ball into the red, pushing it away from the square. If the red ball ever touches the square, one of the three lives is lost. How long will you last?