Dugan Dobbs is a software engineer with nine years of hands-on experience blending research-driven problem solving with practical product delivery across web, embedded repair, and ML-focused projects. Currently splitting time as a Software Engineer at Allied Code and Lead Developer at HubOEM, he brings strong Python and C++ skills plus experience in F#, Ruby, MATLAB, and ROS to build computer vision and data analytics solutions. His background as a research assistant and ongoing MS in Computer Science at UCF emphasize computer vision and machine learning applied to real-world systems. Past roles in device repair and data recovery reveal a meticulous, hardware-aware approach to software debugging and resilience. He has led teams and shipping pipelines for web and online sales platforms, giving him an uncommon blend of low-level systems expertise and product-minded engineering. Based in Daytona Beach, FL, Dugan is comfortable moving between research prototypes and production code while uncovering practical insights from messy, real-world data.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.657, Bachelor of Science - BS, Computer Science, 3.657 at Texas A&M University-Corpus Christi
Master's degree, Computer Science, Master's degree, Computer Science at University of Central Florida
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