Paul Scheid is an engineering manager with a decade of experience building low-latency trading systems and logistics automation, currently leading teams at Loop after driving consolidation and routing improvements at Flexport that reduced truck usage by 30%. He combines rigorous academic training—a BS/MS in Computer Science and Engineering with Economics from Washington University—with hands-on systems work from FPGA market data to production-grade web and mobile automation. Paul has deep expertise in performance-sensitive architecture and data-driven decision systems, having profiled and cut microsecond latencies in trading and integrated data science engines for operational planning. He also contributes to civic open-source projects like CiviWiki, where he’s focused on backend refactors and maintainability, reflecting an interest in civic tech alongside commercial impact. Based in Ann Arbor, he’s known for translating research-grade ideas (e.g., cache-aware optimizations) into measurable product gains.
10 years of coding experience
11 years of employment as a software developer
High School, High School at Marquette University High School
Bachelor's and Master's of Science Computer Science Engineering and Economics, Bachelor's and Master's of Science Computer Science Engineering and Economics at Washington University in St. Louis
Contributions:1 review, 11 commits, 9 PRs in 3 years 9 months
Contributions summary:Paul primarily focused on refactoring and improving the project's code, particularly related to relative import statements. They updated the code to use explicit imports and made changes to several models and API files. Furthermore, the user merged branches, indicating involvement in the project's development cycle. They also removed references to a disabled API.
Contributions:2 PRs, 6 pushes, 4 branches in 1 year 1 month
detoxdemo-project
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