Jeff Mclarty
Engineering & Data Agora
Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolJeff Mclarty is an engineering and data leader with 11 years of experience helping organizations scale data architecture, speed time-to-market, and make capital programmable. Based in Toronto, he blends deep domain knowledge across traditional finance and DeFi with practical experience building data-intensive systems for startups, scale-ups, fintechs and funds managing from $3M to $500B. Technically hands-on and Python-focused, he contributes to major open-source projects like pandas—where his documentation work improved usability and cookbook examples for data practitioners. At Agora he focuses on engineering quality, performance and governance rather than treating money as the sole lever for change. Known for resourcefulness and a contrarian streak, he pairs protocol-minded thinking with pragmatic architecture choices across pipelines, clusters and model lifecycles. His Waterloo engineering background underpins a career of turning complex, high-stakes requirements into auditable, production-ready systems.
11 years of coding experience
B.A.Sc Engineering, B.A.Sc Engineering at University of Waterloo
Github Skills (5)
pandas10
python10
documentation10
data-analysis9
data-science8
Programming languages (14)
Github contributions (5)
pandas-dev/pandas
Sep 2014 - May 2015
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Technical Writer
Technical WriterContributions:8 commits, 2 PRs, 42 comments in 7 months
Contributions summary:Jeff primarily contributed to the documentation of the pandas library. Their work includes adding detailed notes and examples to explain parameters, specifically in the context of database driver dependencies. Furthermore, the user made substantial additions to the cookbook documentation, incorporating numerous inline examples and refining the structure and content of the existing documentation. This work enhanced the clarity and usability of the pandas documentation for users.
pythondatalabeled-datamanipulationdataframes
Equitable/trump
Mar 2015 - Aug 2015
Contributions:5 releases, 381 commits, 32 PRs in 5 months
indexeddatabasepersistent
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