Data Sense is a project with Intel Labs to make data analysis accessible to non-technical end users through interactive data visualization. It consists of a web application (Vue / d3, Spring MVC, MySQL) backed by a data-syncing service (Spring MVC, Thrift) and a data analysis engine (node.js, express). As the lead developer, I've built large sections of this architecture, and have been actively involved in feature development, bug fixes, and profiling / optimization. I also gave a talk on Data Sense at QS 2015. This project is a spiritual successor to datafist, albeit much more usable and performant.