Carlos Garzon

Carlos Garzon is an experienced Embedded Software Engineer with a strong background in developing embedded systems and algorithms. Currently employed at The DiSTI Corporation since October 2019, Carlos contributed to the development of the “OneBrain” Embedded Software using GLStudio as a patented proof of concept. Previous roles include designing the SANUC algorithm at Lockheed Martin and working on machine learning algorithms at Northrop Grumman Corporation. Carlos has also contributed to low power RF device design at Texas Instruments, implemented a new tab-based approach for the MCMP at Harris Corporation, and developed code for binary packet interpretation in radio testing at Harris Corporation. Carlos holds an Associate's degree from Broward College and further education from the University of Central Florida.