Application Developer. Pursuing a part-time computer science masters degree at the Georgia Institute of Technology. Skills: machine learning, full-stack web development, iOS development Primary tools: Java, Python, Javascript/Node.js, Bootstrap, jQuery, Objective-C/Swift Interested in AI and adaptable systems backed by machine learning.

Software Developer @ Wrote an admin interface for AT&T's notification system using jade templating, Express.js, bootstrap, and jQuery to communicate with kafka/user API routes. Created user management API routes with Express.js, using MongoDB for other teams within AT&T to utilize notification services. Abstracted an internal field technician and manager reporting ColdFusion application into a Java Spring REST API. From June 2014 to Present (1 year 5 months) Atlanta, GAData Architect Intern @ Evaluated new tools to manage enormous volume of real time data originating on AT&T's mobility platform and webpages. I analyzed the streaming analytic framework, Storm, by creating a proof of concept for querying and map reducing a big data scenario in real time. Created a mobile android application to track network outages. The app captures data by a crowd-sourced methodology using AT&T employees. From June 2013 to August 2013 (3 months) Atlanta, GAJava Teaching Assistant (LAB) @ Grader and lab instruction for ~60 students using Java. Automated the grading process with scripts. From October 2012 to May 2013 (8 months) Analyst @ Modeling: developed a simple regression based forecasting system to help improve the effectiveness of direct marketing campaigns for Aspen's clients. Used SAS to run statistical analyses on automobile retail advertising methods in terms of geographical customer response rates. Organized data folder structure (metadata) as part of a data architecture project. From June 2011 to August 2011 (3 months)

Master's Degree, Computer Science (Specialization: Machine Learning), 4.0 @ Georgia Institute of Technology From 2015 to 2017 Bachelor of Science (BS), Mathematics, Computer Science, 3.80/4.00 @ The University of Georgia From 2010 to 2014 Ryan Linnane is skilled in: Java, JavaScript, Python, Node.js, Programming, Web Development, Objective C, React.js, C++, C, Unix, Linux, Microsoft Excel, MongoDB, HTML, CSS, REST, MVC, Express.js, Mongoose, SAS, Matlab, Bootstrap, Android, jQuery, SQL, Swift, Machine Learning