Karl Fredrickson is a Data Engineer in Seattle with a decade of experience turning mathematical rigor into production data systems, currently advancing data pipelines and analytics at Parametric. A PhD in mathematics from UC San Diego and a former UC Riverside postdoc, he brings deep theoretical chops—especially in algebraic geometry and mathematical physics—combined with practical expertise in Python-based data processing and ETL. His career path moved from teaching and research into analytics and engineering roles, giving him a rare blend of pedagogical clarity and production-focused engineering. Outside core data work he explores 3D graphics and computational approaches that inform novel data visualizations and geometric modeling in analytics.
10 years of coding experience
3 years of employment as a software developer
BA, Mathematics and Chemistry, BA, Mathematics and Chemistry at University of Washington
Contributions:11 pushes, 1 branch in 1 year 2 months
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