Jeremy Jay is a data and platform engineering leader with 14+ years building cloud-native systems, most recently serving as Director of Data and Platform Engineering and previously as Principal Architect at Method. He blends hands-on backend and database engineering—contributing to the open-source Cayley graph database—with strategic cloud architecture and digital transformation experience across retail and research sectors. As founder of VirtualPosterSession.org and two startups, he has taken technical projects from prototype to sustainable revenue and live events with thousands of visitors. His academic background (PhD in Computer Science) and research experience in automated data integration and ML pipelines inform a pragmatic, data-first approach to platform design and team mentorship. A detail that often surprises peers: he couples enterprise-scale delivery with low-level datastore refactors, showing equal fluency in leadership and deep systems work.
14 years of coding experience
12 years of employment as a software developer
MS Computer Science, MS Computer Science at University of Tennessee, Knoxville
PhD Computer Science, PhD Computer Science at University of Maine
BSI Bioinformatics, BSI Bioinformatics at Baylor University
Contributions summary:Jeremy primarily focused on improving the backend of the Cayley graph database. Their work included refactoring code to use a registry interface for different backend triple stores (like MongoDB and LevelDB), demonstrating a focus on modularity and extensibility. They also modified database initialization and loading procedures, as well as updated method names. These modifications reveal a deep understanding of the database's internal workings and the various storage backends that Cayley supports.
Contributions:16 commits, 1 push in 1 year 8 months
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