Caleb Meier is a software engineer with a Ph.D. in mathematics and a decade of experience applying rigorous mathematical tools to large-scale data problems. At Parsons he focuses on big-data query performance for Rya/Accumulo, building query planners, materialized view frameworks, and server-side entity indexes that materially improve SPARQL evaluation at scale. His background in nonlinear PDEs, mathematical physics, and noncommutative algebra gives him unusual depth in analytical problem solving and algorithm design, while his extensive teaching and presentation experience means he translates complex ideas clearly to technical and non-technical audiences. Caleb pairs research-grade creativity with hands-on systems engineering—prototyping in Fluo and Spark and publishing on theoretical problems—making him effective across the full research-to-production spectrum.
10 years of coding experience
6 years of employment as a software developer
University of California San Diego
Bachelor of Arts (B.A.), Mathematics, Bachelor of Arts (B.A.), Mathematics at Yale University
Contributions:10 commits, 40 PRs, 388 comments in 9 months
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