XYZ Color Science develops a color science technology based on Dr. Ed Granger's work, previously a professor at RIT and senior scientist for Kodak and X-Rite. I've implemented this novel human visual perception based color system in a series of GPU Kernels, C++ applications and MATLAB prototypes to process real-time video for the TV industry. Our process challenges current calibration methods and produces more accurate life-like imagery.
XYZ has also harnessed this technology to create a color based search engine for a leading style magazine. I wrote the full stack implementation using HTML, PHP, MySQL, OpenCL and GPU Kernels. See below for a simplified working version of our color search engine using the open source Yahoo Flickr Creative Commons (YFCC) image dataset.
AI – deep learning, machine learning, speech and image recognition
Building – Houses to furniture, computers to electronic art
Gardening and horticulture – See my greenhouse built from an old deck and re-purposed windows
Painting – Acrylic Painting (2nd year student)
Robotics – Animal mimicry
Bioinformatics – Data mining the biosphere