Research Output per Year
Research Output per Year
Overview
Personal Profile
David Rager leads cloud computing initiatives that accelerate scientific discovery at NREL by enabling researchers to leverage scalable, hybrid environments across AWS, Azure, and on-prem systems. His work focuses on architecting solutions for agentic AI, large-scale data analysis, and event-driven workflows, with an emphasis on sustainability and operational efficiency. Rager’s team collaborates closely with scientists to support secure, reproducible research using modern tools like LangChain, vector databases, and knowledge graph integrations.
Research Interests
Agentic AI workflows
Hybrid cloud architecture
Scalable data processing
Knowledge graph integrations
Event-driven systems
Secure research environments
Professional Experience
AWS Cloud Architect and Consultant, GCI General Communication via I.G. Prowler LLC (2015–2016)
Senior AWS Development Operations Engineer, Gaiam (2015)
Senior Business Intelligence Analyst & Data Warehouse Manager, Digital First Media (2014–2015)
SEO Analyst, Software Manager & Technical Data Architect, Digital First Media (2012–2014)
Partner / AWS Cloud Architect, Solar Intelligence / BitNova (2012–2015)
Director of Architecture / BI DM / Principal Engineer, Examiner.com (2005–2012)
Expired Certifications
AWS Certified Database - Specialty (2020-2023)
AWS Certified Database Analytics - Specialty (2020-2023)
AWS Certified Developer – Associate (2014–2024)
AWS Certified Machine Learning – Specialty (2019–2022)
AWS Certified Big Data – Specialty (2017–2020)
AWS Certified DevOps Engineer – Professional (2015–2020)
Sun Certified Java Developer (Expired)
MCSE (Expired)
Education/Academic Qualification
Master, Information Technology, Colorado Technical University
Master, Business Administration, Colorado Technical University
Bachelor, International Affairs, University of Colorado Boulder
Certificate, AWS Certified Solutions Architect – Professional
Certificate, AWS Certified AI Practitioner
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An AI-Enabled Chat Bot for DuraMAT
White, R., Zisman, S., Rager, D., Nag, A., Goldwyn, H., Wunder, N. & Horton, D., 2025, 1 p. National Renewable Energy Laboratory (NREL).Research output: NREL › Poster
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Pipeline for Integrated Projects in Energy Systems (PIPES): A Tool for Integrated System Planning
Mooney, M., Gu, J., Lowney, A., Eisenman, J., Lockshin, J. & Rager, D., 2025, 19 p.Research output: NREL › Presentation
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CloudZero Phase 2 Technical Report
Wallace, A., Liao, A., Rager, D., Hasandka, A., Sahu, A., Ryan, N., Drake, S., Rivera, J., Snyder, P., Richardson, B. & Schwalm, K., 2024, 54 p.Research output: NREL › Technical Report
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28 NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine Learning: Preprint
Rager, D. & Andersen, A., 2022. 17 p.Research output: Contribution to conference › Paper
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NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine Learning
Rager, D. & Andersen, A., 2022, Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation - 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Revised Selected Papers. Nichols, [.-N., Maccabe, [.-N. ‘., Nutaro, J., Pophale, S., Devineni, P., Ahearn, T. & Verastegui, B. (eds.). Springer Science and Business Media Deutschland GmbH, p. 227-246 20 p. (Communications in Computer and Information Science; vol. 1512 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review