Bio
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.
Professional Experience
Sean Pharris brings a diverse blend of technical and operational experience, beginning his career as a Signals Intelligence Analyst in the U.S. Air Force, where he supported national defense missions through the collection, interpretation, and dissemination of critical intelligence. Building on this foundation, he transitioned into advanced software and data-engineering roles, contributing to large-scale biometric and identity-intelligence programs that required secure data pipelines, rigorous metadata standards, and high-performance processing of multimodal sensor inputs. Across these roles, Sean has applied analytical precision, mission awareness, and engineering expertise to deliver reliable, scalable solutions that support both tactical and strategic decision-making.
Education
B.S. Computer Science
M.S. Data Analytics