Projects
MusicTagger
Mooch
ArtRoom
Friendcast
CSGO Bets
Whatchamacallit
C# and .NET/ASP.NET, but I've worked on and dabbled in
various parts of the stack, using technologies like Angular, RabbitMQ,
Docker, and Terraform to name a few. I love building products that
bring joy to both the users using them and the engineers working on them.MusicTagger
Mooch
ArtRoom
Friendcast
CSGO Bets
Whatchamacallit
Mooch is a Chrome extension that allows the user to share some accounts with their friends, family, and trusted persons without transferring any login information (i.e. emails and passwords). The extension communicates with a backend server written in Django and backed by PostgreSQL via a RESTful API.
ArtRoom is an Android application that allows users to, in an art museum context or such, scan an art object and promptly get information regarding the scanned object. It is intended to generate interest in art and art history by integrating technology and making it simple to learn about art. Additionally, users can discuss and comment on the scanned object with others via Moxtra.
Friendcast is an Android application that is meant to make it simpler to get together with your friends. This can be extended to be used for multiple purposes from eating out to having fun. The app scans the user's location and, using the Google Maps API, finds nearby food locations. Once a location is chosen, the user can then select which of their Facebook friends (who also have Friendcast installed) to notify; they can then choose to accept or reject the invitation to go eat.
CSGO Bets was my first and only Android app published on the Google Play Store. Its main purpose was to easily allow users to view information regarding matches/bets from csgolounge.com. Web scraping (jsoup) was utilized to get matches and compile match information.
Whatchamacallit is a Google Glass app that allows the user to say a short phrase or rough definition of a word that they are thinking of, but can't quite grasp. Upon saying their phrase/definition, the app will attempt to find and display the most closely related words.