Paul Sutherland

Independent Systems Engineer (Self-Directed) at Self-employed

Reading, England, United States
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Summary

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Rockstar
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Top School
Paul Sutherland is a principal-level systems engineer with 11+ years building distributed systems, simulation infrastructure, and performance-sensitive backend platforms that prioritize correctness and reproducibility. He has a demonstrated track record turning bespoke analytics and trading systems into scalable SaaS and enterprise-grade platforms—consolidating 20+ pipelines at SaaSWorks, shipping RBAC and multi-tenant features at Markforged, and architecting Quantopian’s portfolio simulation engine that removed lookahead bias. Currently self-directed and coding in Rust, he focuses on deterministic backtesting engines, Monte Carlo modeling, and high-throughput historical data pipelines while on a planned family-focused pause. Comfortable across Rust and Python, Paul is drawn to problems that seem impossible and to architectures that make rigorous, auditable results repeatable in production.
code11 years of coding experience
job13 years of employment as a software developer
bookBachelor of Science, Bachelor of Science at Tufts University
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Github Skills (45)

sql-query10
python10
hadoop10
java10
zipline10
hive10
sql10
algorithmic-trading10
isomorphic9
big-data9
presto9
dom9
predictive9
rust8
webassembly8

Programming languages (6)

JavaRustJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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quantopian/presto

Dec 2016 - Oct 2017

Distributed SQL query engine for big data
Contributions:4 PRs, 3 pushes, 5 branches in 10 months
big-datasql-query
quantopian/PyHive

Dec 2016 - Oct 2017

Python interface to Hive and Presto.
Contributions:2 PRs, 2 branches in 10 months
prestopython
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