Summary
Justin Muncaster is a Principal Consultant and seasoned software engineer with 20+ years of experience designing and delivering real-time image, video, and ML systems from R&D prototypes to production across embedded and server platforms. He combines deep probabilistic modeling and signal-processing expertise with practical engineering—architecting extensible frameworks, optimizing performance on multi-core and GPU hardware, and establishing CI-driven development practices. As a technical leader and former PI, he has guided product roadmaps and cross-functional teams for customers including aerospace, defense, and commercial camera and sequencing companies. His work often blends classical algorithms with CNNs and modern deep learning, producing robust, explainable solutions such as high-accuracy multispectral registration and real-time target-tracking pipelines. Based in California, he pairs strong academic foundations (MS/BS UCSB) with hands-on fluency in C/C++, Python, PyTorch/Caffe/TensorFlow, and cross-platform deployment—comfortable taking projects from whiteboard to hardware. A less obvious strength is his consistent focus on measurably accelerating algorithms (often an order-of-magnitude) through principled approximations and system-level optimization.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.S.), Computer Science, 3.9, Bachelor of Science (B.S.), Computer Science, 3.9 at University of California, Santa Barbara