I'm a full stack developer with years of experience designing responsive, hi-res websites. I can switch painlessly between server-side Javascript code and Photoshop documents, and I love working in teams where I’m integral to many parts of an app. I’m currently looking for a full-time position to work on great web-based products.


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Adobe Certified Expert - Photoshop


PlantMidwest is a new St. Louis religious organization that meets quarterly in several cities throughout the midwest. Through LaunchBot Creative I was able to design their first website. The site needed to describe the organization, make it very easy to sign up for their quarterly events, and catalog media from each of those events for later viewing. We worked with the client for a few months altering page designs and functionality, and eventually landed on a final product that is one of the best sites that we delivered. The home page above and the image clips below are a sample of the muted and modern feel of the final design.

CrossFit St. Charles is the prominent CrossFit gym in the St. Charles area, and as CrossFit gained popularity over the past couple years they very quickly outgrew their Typepad "drag and drop" site. They very much needed something developed that felt more professional. I was able to design a site for them which better enabled them to do custom outreach to their members, which better fit the color scheme and branding of their building’s signage.

Ekklesia is a small church in St. Charles that needed a first website. They had been previously relying on a podcasting app to share messages and news, so we built them a responsive site that they transitioned to using in junction with social media for communication. The site was fully responsive, designed for high resolution displays, and included Google maps integration for community groups and media management for weekly sermons.


Dartfeed's goal was to take the standard features of an RSS reader and pair them with a machine learning backend. It's primary feature is to bring a user's attention to articles in subscribed feeds that he/she may especially enjoy reading based on previous use. On this project I worked on backed web workers that autonomously fetched RSS feeds and transported batches of user preferences to the machine learning service for computational training.