Growing the 1530 family

A few weeks ago, we put out a call for summer interns. We posted to this blog as well as the 37signals job board. We got a lot of great candidates over the next few weeks. It was a tough choice, but we narrowed the field down to one exceptional candidate. I’ll let him introduce himself:

My name is Michael Chang and I have just finished my sophomore year as an EECS major at UC Berkeley. I’m interested in web development, Mac OS X programming, and cloud computing. I am big fan of Macs and all sorts of electronic gadgets. In my free time, I enjoy video games, playing and following sports, and photography.

Why Michael?

We were looking for someone who is hungry and wants to learn and grow their skill set. We weren’t looking for experience in certain technologies or tools. After all, this isn’t a job role we’re trying to fill. We’re simply trying to give back to the software development community. When I was just starting out, I had the fortune of landing an internship in Chicago and it accelerated my career. Hopefully we can do the same for Michael.

We’re all excited here for Michael to come on board. He will be working on a as-of-yet unannounced product for us for at least the summer. He’ll be working with HTML/CSS & Django and also be blogging here on his internship and technology in general.

So everyone please welcome Michael to the team!

Chicago Semantic Web Group – May

Tomorrow night, the Chicago Semantic Web Group will be meeting at the ITA ( map ) in downtown Chicago. The speaker will be Paul Gearon who runs the Mulgara Open Source project and is an employee of Fedora Commons.
Paul will be giving a talk about Mulgara the RDF data store he has been working on for several years. Below is the talk synopsis:

Mulgara is an open sourced RDF data store that can run in any Java environment. It has a mature codebase, starting in 2001 as a commercial system, before being open sourced in 2004.
Mulgara offers a scalable data store, with a flexible mechanism for integrating RDF from multiple sources. It supports many standards, providing a flexible and consistent means for developers to work with their data. The system supports all the major semantic web standards, REST interfaces, and provides a rule engine for logic programming. Mulgara is widely deployed in both industry and government, and provides storage the storage layer for several other systems which integrate Semantic Web data, including the Public Library of Science and Fedora Commons.
This talk will discuss some of the architecture and interfaces for Mulgara, and demonstrate the ease with which it can be deployed and accessed.

If you think you can make it, please RSVP here or drop me a email.