Reuben McCurdy

Reuben McCurdy serves as a procurement lead within the Virginia Contracting Activity (HHM402), part of the Defense Intelligence Agency under the Department of Defense. He is responsible for managing complex acquisitions that support classified intelligence operations, with a focus on advanced technical services enabling real-time data exploitation, systems analysis, and mission-critical software development. His work directly enables the agency’s national intelligence mission by securing specialized capabilities in physical and engineering sciences, custom algorithm development, and secure systems integration. McCurdy typically handles sole-source and competitive procurements for high-acuity research and development efforts requiring stringent security clearances and compliance with DoD Directive 5230.25 and NIST SP 800-53 controls. While specific contractor names are not publicly disclosed, McCurdy maintains a consistent pattern of engaging with research-intensive institutions and technical service providers possessing advanced clearance capabilities and domain expertise in intelligence systems. His procurement approach emphasizes technical proficiency over cost alone, prioritizing vendors with proven experience in classified environments and demonstrated capacity to deliver under strict compliance regimes. Relationships are typically long-term, performance-based, and aligned with mission-critical timelines requiring agile development cycles and secure DevSecOps pipelines. McCurdy’s contracting activity shows a 100% preference for non-set-aside awards, indicating a focus on technical capability rather than socioeconomic criteria. There is no documented use of 8(a), HUBZone, SDVOSB, or WOSB set-asides in his portfolio, reflecting the specialized nature of the acquisitions, which often require cleared personnel, proprietary technologies, or institutional research infrastructure not commonly found in small business pools. His procurement activity is exclusively aligned with NAICS 611310—Colleges, Universities, and Professional Schools—indicating a strong reliance on academic and federally funded research institutions. He procures advanced R&D services including machine learning model development, signal processing systems, geospatial analytics platforms, and secure embedded systems designed for intelligence exploitation environments. His domain expertise centers on engineering sciences supporting defense intelligence architecture, with an emphasis on open-source and classified data fusion technologies.