Selected Classes: Distributed Systems (15-440), Embedded Systems (18-348), Web Application Development (15-437), Computer Network Security (18-487)
Worked closely with Product Managers and Tech Leads to design, spec, and build an Android application for Google's Shopping Express team. Made important contributions to the teams larger goals and had code shipped multiple times throughout production.
Developed proprietary, integrated, 3d-scan design and print technology designed to deliver custom fit prosthetics, orthotics and orthopedic devices that improve treatment and lifestyle outcomes. Made critical contributions to user-facing iOS client and backend processing.
National Finalist in Microsoft Firenze Innovation Competition:
Won the Carnegie Mellon preliminary competition and went on to lead my team to second place in the national finals in Redmond, WA. Worked with engineers, designers and MBAs to build a cohesive, customer focused product pitch.
Microsoft Sponsored Award Winner at TartanHacks 2012:
Lead 4 person team and won the Microsoft sponsored prize at TartanHacks 24 hour programming competition at Carnegie Mellon in February 2012.
PhotoHackDay Honorable Mention:
Received an honorable mention at PhotoHackDay, a 24 hour programming competition with 70+ teams in San Francisco in July 2012.
Yahoo University Hack Day Honorable Mention:
Lead and managed team of 4 on the way to receiving an honorable mention at the Carnegie Mellon Yahoo University Hackday with 50+ teams participating.
Phone usage data collection app:
github.com/nzukoski/TimeCheck
Designed and implemented an app to record personal phone usage data such as time, duration of use, and location of every time the screen is turned on, records of texts and phone calls, and app usage. The goal of the app is to better understand personal smartphone usage with the hopes that the data will allow for increased productivity.
Twitter Rap Creator (tweezy):
github.com/nzukoski/tweezy
Wrote a system to scrape twitter for rhyming tweets with good meter to put together raps that are delivered using text to speech. Tweets are parsed and sorted using a distributed framework and delivered with the sickest flow text to speech technologies allow for.
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