Casey Mc Candless
About Casey Mc Candless
Casey Mc Candless is a Staff ML Engineer at Flock Safety in Texas, with extensive experience in machine learning, high-performance computing, and software development.
Title
Casey McCandless currently holds the position of Staff ML Engineer at Flock Safety. This role involves developing and implementing machine learning models for image processing applications.
Company
Casey McCandless is employed at Flock Safety, a company based in Texas, United States. Flock Safety specializes in technology that aims to enhance public safety through innovative solutions.
Previous Positions
Casey has accumulated substantial experience through various roles over the years. They served as Principal Engineer at MSI/WatchGuard Video from 2016 to 2021 in Allen, Texas. Prior to that, they were a Senior Software Engineer at CGG from 2011 to 2016 in Richardson, Texas. They also held the role of Senior Software Engineer at Immersive Media from 2008 to 2011 in Addison, Texas, and was a Systems Engineer III at Rudolph Technologies from 2002 to 2007 in Richardson, Texas. Earlier in their career, Casey worked as a Senior Software Engineer at ISOA from 1996 to 2002 in Richardson, Texas, and as a Research Engineer at American Flood Research for six months from 1995 to 1996.
Education and Expertise
Casey McCandless earned a Bachelor of Science degree in Computer Science from The University of Texas at Dallas, completing the program between 1995 and 2000. They also attended Seagoville High. Casey has an extensive technical skill set that includes proficiency in machine learning using TensorFlow and TensorRT, high-performance computing, and clustering techniques. Additional expertise includes developing graphical user interfaces across multiple platforms, parallel computing using nVidia CUDA and OpenCL, and computer vision projects utilizing OpenCV.
Technical Skills
Casey McCandless has a strong background in software design and development, with particular expertise in C/C++ and Python programming languages. They are skilled in performance optimization through threading and clustering, and possess knowledge in using Vulkan, GLSL, and OpenGL for graphics programming. Casey also regularly provides technical support and conducts product functionality testing.