Sean Pharris is a Software Engineer with extensive Data Science experience developing high-performance geospatial software, modernizing legacy workflows, and leading data-engineering initiatives for national-security missions. He specializes in large-scale feature-matching algorithms, GPU-accelerated image-processing pipelines, and automated metadata-curation systems, integrating modern ML techniques such as LightGlue, LoFTR, and D2-Net into production environments. With a strong background in C++, Python, HPC containerization, and enterprise data-management architectures, Sean collaborates closely with government sponsors to deliver reliable, mission-critical capabilities, technical briefings, and operational solutions that enhance imagery exploitation and analytical throughput.