Summary
Randy May is a hands-on technical leader with 11+ years focused on data-intensive, high-velocity systems across financial services, retail, IoT and travel; he currently serves as Senior Customer Success Technical Architect at Confluent. He’s repeatedly taken high-performance systems from prototype to production—most notably in credit card fraud detection and airline inventory—and has deep experience in streaming, in-memory data grids, and event processing. Randy’s career spans development, architecture, pre- and post-sales engineering, and consulting, enabling him to translate between engineers, product, and commercial teams. A pragmatic troubleshooter, he’s been called on for high-stakes root-cause analysis of mission-critical systems. Between roles he built a pure-Python event processing project (reflow) and has published Hazelcast-based guides on semantic image search and stream processing, reflecting a persistent focus on practical open-source tooling. He’s currently deepening his ML expertise through a post-graduate AI/ML program at UT.
11 years of coding experience
25 years of employment as a software developer
Post Graduate Program in AI/ML, Post Graduate Program in AI/ML at The University of Texas at Austin
MS Operations Research, MS Operations Research at Georgia Institute of Technology
BS Mathematics, BS Mathematics at University of Florida