Helping you build healthier subscription businesses.

Floom is a marketplace to buy and sell software (micro)services. It's an alternative to the SaaS business model which lets developers focus on their product specific code. No user auth. No subscription management. No Stripe integration. Just your product.

Led a project to overhaul the data visualizations available to clients of the LiveStories platform.

Largely focused on data visualization using D3.js.

Rob is an expert Front-end Developer whose creativity and high quality code continue to impress clients. He has years of experience developing websites and more than 1000 hours creating custom data visualizations with D3.js. He's fully prepared to take on the toughest coding challenges and design solutions that are built to last.

Undergraduate Internship (Dillan Cunningham)Summer 2013, Winter 2014, Summer 2014• Web development and data visualization for a consolidated biological threat database (primarily JavaScript with D3.js)Summer 2012• Completed literature review to further develop a consolidated biological warfare database

Undergraduate Research (with Dr. Jon Froehlich)• Prototyped early interfaces, performed physical audits, and coded images researching the potential of a scalable crowdsourcing interface to identify bus stop landmarks to assist blind bus riders (Processing used for prototype interfaces) o Best paper award at ASSETS 2013 ( Improving Public Transit Accessibility for Blind Riders by Crowdsourcing Bus Stop Landmark Locations with Google Street View. Proceedings of ASSETS 2013)• Developed study launched on MTurk to investigate the efficiency of computer vision algorithms paired with human computing resources (Javascript and MySQL) o Publication to appear in UIST 2014 (Hara, K., Sun, J., Moore, R., Jacobs, D., & Froehlich, J. (2014) Tohme: Detecting Curb Ramps in Google Street View Using Crowdsourcing, Computer Vision, and Machine Learning. Proceedings of UIST 2014 To Appear)

https://www.startv1.start.umd.edu/nf/ Visualization done with D3.js to display invasions on nuclear facilities (weapons manufacturing sites, power plants, etc.).