Computer science is one of those fields which are filled with challenges and problems. Problems such as optimizing code, creating social media application, or implementing the security features of a product. As a computer scientist I know that challenges will arise, and I welcome them. I enjoy having to think up clever ways to solve the problems at hand.
I highly enjoy learning about cryptography and computer security topics. These include public key crypto systems, key exchange protocols. Another field within computer science that I have grown fond of is Big Data. Big Data is something that I find fascinating and I have learned quite a lot about it while working for the Big Data enablement department at IBM. I believe that cyber-security and big data will play a huge role in the future if not already. Thankfully that is what I am most interested in, and is what I would like to pursue in my career.
While working at IBM, I was tasked with creating a social media application that pulls data from Facebook's public domain based on a set of keywords. This was a difficult task as I was unfamiliar with web based programming, and the languages that I had at my disposal were new to me, yet I did not let this hold me back. I did my research and ask for help were needed. After a week or two I demonstrated the application I had created and my colleagues were impressed, but they felt that the application could do much more. After receiving feedback I went ahead and expanded the application further. I made it so that it would filter the data and push it into a database table for later sentiment analysis.
It is problems like the one mentioned above that I really enjoy solving, and the feeling you get when solving such a task that seems out of ones' scope is really satisfying.
I have gained many skills in the field of big data and I would like to expand them further possibly even doing security based big data projects.
I prefer to use my free time to go mountain bike riding and to learn as much as possible about cyber-security and big data technologies.
