One of the larger dashboard portlets, which pulled together multiple bits of into into one interface, to ensure context for the user. This was created in Adobe Photoshop, with vectors from Adobe Illustrator. The final, live portlet used d3 and jQuery.
Custom logo and Mac OS icon design, created in Adobe Illustrator. This was used for installers, within apps, and on marketing collateral.
Another custom logo and Mac OS icon design, created in Adobe Illustrator, and used for installers, within apps, and on marketing collateral.
Detail of a web portlet, showing interactive state (hover), created in Adobe Photoshop. The graph was created with Adobe Illustrator, and was replicated for the portlet using jQuery and one of the developer's custom code.
2014 Teradata Viewpoint iconography, which I created using Adobe Illustrator. Each icon represents a different web tool available to our users. I rendered them in both solid and outline forms.
This is iconography for a different Teradata tool, illustrating some relatively obscure, niche processes and concepts ("firmware version checker," anyone?). I used Adobe Illustrator and output PNGs and SVGs for the devs to use throughout the application.
These are tiny raster graphics used within some Teradata web applications. I created them all in Adobe Photoshop and output 24-bit PNGs. The challenge here was working without antialiasing, to keep file sizes minuscule, without the icons themselves looking like video game characters from the eighties. I love the sharpness, although creating anything too visually complex just isn't possible.
This is a detail of a web portlet showing data input and output, represented here using a pipes metaphor. The potential complexity of data flow is off the charts, so a friendly, fairly easy-to-comprehend visual was chosen. I used Adobe Illustrator and Photoshop for this.
I designed and helped direct the implementation of the Viewpoint web application platform at Teradata, a big data analytics company, between 2008 and 2014. Some of the many users included Apple, Wal-Mart, Best Buy, Coca Cola and eBay. The whole project involved translating lots of dense, difficult-to-grasp concepts, and acres of tedious data into scannable, easy-to-understand chunks of quickly digestible visual information, all in a system that could be reused across a larger app ecosystem.