Summary
Nicholas Maxwell is a senior engineer and applied mathematician with 16 years of experience building algorithms and production software for imaging, computer vision, and remote sensing. He holds a PhD in applied mathematics and has translated deep mathematical research—fast algorithms for Fourier integral operators and novel high-dimensional filters—into practical C++, Python, and Unity implementations for programs including IARPA CORE3D, Finder, and Army IVAS. At ARA he architected a Python-based processing pipeline, QGIS labeling tools, and a fully CMake build/test system while mentoring junior engineers and presenting solutions to customers. His background spans electrical and mechanical prototyping, signal processing for telemetry, and geoprocessing tasks like orthorectification, point cloud fusion, and DSM generation, reflecting both theory and hands-on engineering. Notably, he combines academic rigor with field-oriented development, turning advanced mathematical models into deployable tools for defense and remote-sensing applications.
16 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of Houston