Jacob Quinn
Principal Software Engineer at The Julia Language
Lehi, Utah, United States
Summary
🤩
Rockstar🎓
Top SchoolJacob Quinn is a Principal Software Engineer with 13 years of experience building full-featured platforms and tooling, currently leading the development of a business travel platform at Christopherson. He is a long-standing core contributor to the Julia ecosystem, having worked on the Julia language itself and foundational packages like DataFrames.jl, CSV.jl, and numerous binary build recipes—demonstrating deep systems and backend expertise. His background spans high-impact roles from enterprise analytics at Sears to full-stack engineering and platform work at Domo, plus research-grade contributions at MIT CSAIL. Jacob blends practical product delivery with low-level language and performance work, including refactors that modernized libraries for newer Julia versions and improved table/CSV interoperability. Based in Lehi, Utah, he brings a rare combination of production engineering, open-source stewardship, and data-focused engineering that helps bridge language-level improvements to real-world applications.
13 years of coding experience
12 years of employment as a software developer
Bachelor of Science Business Management Strategy, Bachelor of Science Business Management Strategy at Brigham Young University Marriott School of ManagementMS of Information Systems Business Intelligence and Data Analytics, MS of Information Systems Business Intelligence and Data Analytics at Carnegie Mellon University
French
Github Skills (30)
algorithms10
c-language10
data-manipulation10
dataframes10
c1110
data-parsing10
data-structure10
refactor10
dataframe10
c1710
pbuilder10
fileio10
file-processing10
file-handling10
data-structures10
Programming languages (17)
Github contributions (5)
JuliaData/CSV.jl
May 2015 - Jan 2023
Utility library for working with CSV and other delimited files in the Julia programming language
Role in this project:
Back-end Developer
Back-end DeveloperContributions:31 releases, 100 reviews, 648 commits in 7 years 8 months
Contributions summary:Jacob appears to be a back-end developer, primarily focused on the Julia programming language and the creation of a utility library for working with CSV and other delimited files. The commits show the user implementing core features of the library, including the creation of data structures, parsing functions, type detection, and basic file I/O operations. The user implemented the core structure of the CSV library, including the ability to parse and read a CSV file into an array of arrays, handle different types, and deal with string data.
csvcsv-readerdataframesdelimited-filesdelimited
JuliaData/DataFrames.jl
May 2017 - Sep 2021
In-memory tabular data in Julia
Role in this project:Back-end Developer
Back-end DeveloperContributions:3 releases, 41 reviews, 111 commits in 4 years 4 months
Contributions summary:Jacob primarily focused on updating and refactoring the DataFrames.jl library to align with newer versions of its dependencies and the Julia language itself. They implemented changes related to data streaming, including allocation methods for different data types. The user also addressed several issues by modifying code related to data joining, iteration, and table interoperability, improving overall library functionality and compatibility. These changes included updates for newer Julia versions and improvements for Tables.jl compatibility, including both the API and performance.
memorydataframesdatatabular-datadata-frame
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