I Fed is a merger between the charity world and the social networking world. I worked with Robin Hood and John from FRESHTHRILLS to bring this site to life. We created a social media gateway and information center. People can use the site to spread Robin Hood's mission by sending tweets (tagged with #feednyc), update their facebook wall with an I Fed badge and information about the charity and how to donate, or upload their favorite Thanksgiving photos to Flickr.

Both John and I were honored with being designated co-chairs of the Robin Hood's 2009 Thanksgiving fundraiser event for our work.

Also see my blog entry about the project.

This is another project done with FRESHTHRILLS. I built the CMS for this site using Django and worked with jQuery for the Ajax related pieces of the dynamic front-end.

This particular law firm prides itself on being tech saavy and different from other law firms and I believe FRESHTHRILLS and J2 Labs teamed up to deliver a site representing exactly that. Please see for yourself!

This project is a collaboration with Johns Hopkins University to design and implement a web based system for enabling cross-lingual human / machine translations of documents, along with a full audit trail. We intend to begin by enabling easy user based translation of articles found on wikipedia from English to other languages to generate pairs of sentences representing the same idea in multiple languages. Upon successful completion the project will move focus to statistical based language translations.

Funding provided by the European Union.

I worked with Real Pie Media to build this promotional site for the movie (500) Days of Summer. The site was designed to encourage viral marketing via social networks.

It was my first experience using Twitter's OAuth system and Facebook Connect.

Kasper is a chat client and server. It does not adhere to any well-known public protocols. It was built after I got curious how hard it actually is to write a chat system.

Glen Coppersmith and I developed an artificial intelligence for playing Tetris. We built our algorithm inside Colin Fahey's tetris AI framework. The algorithm has a high score of clearing 231,675,678 lines.

We spoke to the Northeastern University chaper of the ACM about our research on March 17th, 2004.