Webapp for training and testing a Naive Bayes classifier on a set of text.
Tech Used: ReactJS, Gulp, Socket.io, Express, and Redux.
Alexa skill that fetches the latest arrivals for TriMet buses and trains in Portland.
Tech Used: AWS Lambda, NodeJS, Gulp, TriMet API.
Alexa skill that records my backpack weight to a Google Spreadsheet.
Tech Used: AWS Lambda, NodeJS, Gulp, Google Spreadsheets API.
I wired up an AWS IoT button to a Lambda function that plays/pauses Sonos speakers. This required a Raspberry Pi running on my local network to control the speakers. To deploy the app and add a public URL, I used Resin.io.
Tech Used: AWS Lambda, Docker, NodeJS, Resin.io, Raspberry Pi.
This is a fork of a Sonos API app written in NodeJS. I enabled HTTP auth by default, and added a Dockerfile so that it could be deployed to a Raspberry Pi via Resin.io.
Tech Used: AWS Lambda, Docker, NodeJS, Raspberry Pi.
Essentially, a Chrome extension designed to repeatedly spam Trump’s “media accountability survey” with randomized data. Used Google Analytics to track the number of survey submissions.
Tech Used: NodeJS, Chrome extension API.
App that periodically records home Internet upload and download speeds and records the metrics to DataDog.
Tech Used: NodeJS, Docker, Resin.io, DataDog API.
Dockerized NodeJS app which generates a heatmap given a set of geotagged images. Uses the Google Maps API.
Prank Chrome extension that flips web pages upside down.
I built a Raspberry Pi-powered Kubernetes cluster based on HypriotOS.
Tech Used: Raspberry Pi, Docker, Kubernetes.
I used the Twilio API and Heroku to build an automated phone number that would play monkey sounds and then send the DTMF code to let guests in to my building:
I forked a really cool project I’d found that renders hyperlapses from Google Street View imagery. I added the ability to export the images from the canvas element the hyperlapse was rendered in, in order to create my own YouTube video from it:
My senior capstone project, a webapp that assisted in the classification of various insects. It interfaced with an artificial intelligence classification algorithm developed by a graduate student, and used a MariaDB database to store previous classifications.
Tech Used: PHP, CakePHP framework, MariaDB
A demo of an iOS app I wrote for my CS 496 mobile development class that automatically renders a collage from Facebook photos.
In 2009, I wanted to see if I could get a website to rank for the first Google search result for “Coolest Guy in America.” So I learned about SEO and was able to get the site ranked in a couple weeks.