James Unicomb is a C/C++ engineer with 9 years' experience applying rigorous mathematical and mechanical engineering training to real-world embedded and high-performance systems. He has published top-tier research in tracking, Kalman filtering, optimization and data association, and translated those algorithms into industrial software and hardware for space domain awareness, small-satellite radio systems, and market risk applications. James has practical expertise across C/C++, CUDA and FPGA platforms, and a track record of delivering production-grade algorithms for orbit determination, maneuver detection and conjunction analysis. Based in Sydney, he blends academic rigor with pragmatic engineering—often bridging research prototypes to operational products—and maintains an active interest in robotics and embedded systems reflected in his open-source work.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at University of Technology Sydney
An incomplete collection of Kalman filter knowledge I have picked up over the years
Contributions:9 commits, 16 PRs, 73 pushes in 1 month
knowledgekalman-filterfilterkalman
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