Irina Belyaeva
Chief Architect, Generative AI AI Research, Methodology & Innovation
Washington DC-Baltimore Area United States
Summary
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Senior🎓
Top SchoolIrina Belyaeva is a Chief Architect and PhD-trained AI research scientist with 12 years of experience building production-grade ML and cloud systems, currently leading generative AI research, methodology, and innovation at the U.S. Department of Commerce. She blends deep academic expertise in tensor methods, Riemannian optimization and multimodal brain imaging from her PhD work with practical experience designing real-time, event-driven data platforms and ML pipelines at Centene and Johns Hopkins Medicine. Her work spans end-to-end solutions—from high-dimensional signal processing and fMRI/MEG fusion to scalable Kafka-based ingestion, NoSQL architectures, and online/offline machine learning for healthcare. Known for translating complex research into operational systems, she focuses on measurable outcomes like care-gap detection and real-time analytics while advancing generative AI practice in the public sector.
12 years of coding experience
7 years of employment as a software developer
Johns Hopkins UniversityUMBCProgramming languages (1)
Github contributions (2)
umd-lib/DSpace
Mar 2014 - Jun 2014
Digital Repository at the University of Maryland (DRUM)
Contributions:97 commits in 3 months
drumdigital-repositorymarylanduniversity-of-maryland
DistrictDataLabs/transportation-project-1
Jun 2014 - Jun 2014
Contributions:2 commits in 1 day
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