Description: This was my group's final project at Fullstack Academy. After months of working primarily on websites and webapps, we decided to go way out of our comfort zones by making a security oriented app on a different platform with a totally new tech stack. The amount of new technical material, tight deadline, and unfamiliar development tools made the project extremely challenging, but I'm very proud of the final project, our team's work, and the amount we learned.

Description: This was a solo web-scraping project I began early in 2018 and finished at Fullstack Academy. I actually started it before Fullstack began, but even though I managed scrape and parse sites with a node.js script, I had no idea how to integrate that with the website's frontend. I finished the project during Fullstack once I had learned more, and adapted it into a Chrome extension for a class project. It was my very first original project idea, so this site will always be my child.

Description: This was my first group project at Fullstack Academy. We drew on all the knowledge from the first part of the course to design and implement an e-commerce site, which somewhat whimsically sold spaceships, and had all the features and technologies we had been studying. On top of this, we were working as a team in an agile environment for the first time, and doing group version control and some TDD.

Description: This site procedurally generates quotes in the style of John Danaher, based on a Markov chain generated from his social media posts. The Markov chain script is generalizable and could be used to generate chains and quotes from any input text. The website uses a precomputed Markov chain derived from Danaher's posts to generate the quotes. This project was especially exciting because it was inspired by the Thomas Friedman op-ed generator, which had seemed like an impossible mystery to me until I started programming.

Description: This site uses the Yelp API to find restaurants. A user can search by city, find the highest rated restaurants, and filter the results by price and whether or not the restaurant is open. Results can also be sorted on the page. The backend uses Express to serve the site and keep the Yelp API key hidden, and the modular frontend was created with React. The site is fully responsive and was styled with UIKit, my first experience with a CSS framework.

Description: Why, it's the very site you're on now! I've always loved parallax scrolling and I took the photo of the Hudson Bridge in NYC. This site used to be the only thing I'd ever made with just HTML and CSS, but I added some vanilla JS because I was embarrassed by the lack of interactivity (I spent WAY too long on the crazy-complex randomized title animation). It's included in the projects section because I'm a completionist.