RMCI, Inc.
John Cooper is an experienced technology professional specializing in software engineering and DevOps practices. Currently working as a DevOps Implementor/Administrator at RMCI, Inc., since June 2023, John has previously held senior software engineering roles at WellSky and Jack Henry & Associates, focusing on enhancing deployment mechanisms and productivity strategies. Early career experiences include positions at Microsoft, where John contributed to build systems and installer development, and a brief stint as a Build Manager at Huron Consulting Group. Additionally, John served as a High School Math Teacher, demonstrating versatility in both technology and education. John holds a Juris Doctor from Gonzaga University School of Law and a Bachelor of Arts in Mathematics from Gonzaga University.
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RMCI, Inc.
RMCI, Inc. is the most experienced helicopter health monitoring team in the world. With experience monitoring over 3,000 U.S. Army rotorcraft, RMCI offers a comprehensive and sophisticated approach to vehicle health management on a variety of platforms. RMCI is an agile, creative, highly skilled team with a diverse set of capabilities, including: • Vibration signature analysis and diagnostics • Rotor track and balance • Condition-based maintenance (CBM) implementation • Bearing, gear, and shaft vibration and fault signature analysis • Acoustic modeling and noise control techniques • Sensor functions, selection, placement and instrumentation • Electrical signal processing • Dynamic system modeling, including lumped-parameter and finite-element based analysis • Data acquisition methods and requirements and data reduction • Development of new condition indicators (CIs) for the detection of specific component faults • Trending of CIs for component health • Data analysis for all U.S. Army helicopter drive train vibration diagnostic systems • Application-specific software development and software testing • Hardware design for electrical and mechanical systems • Hardware and software system integration • Processing and management of large data volumes • Development and calculation of performance metrics