Diego聽Quintanilla

Staff Software Engineer at Gauntlet

New York, New York, United States
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Summary

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Rockstar
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Top School
Diego Quintanilla is a Staff Software Engineer in New York with 11 years of experience building production data and modeling platforms. He spent nearly a decade at Two Sigma rising to Vice President and lead of the Modeling Base Platform team, where he combined infrastructure thinking with statistical tooling for large-scale modeling workflows. Diego is an active open-source contributor to ibis, improving the pandas backend with features like ops.Where, scalar rounding, windowed multi-quantile calculations, and table schema validation鈥攚ork that bridges algorithmic numerics and pragmatic data engineering. With a Yale degree in Computer Science and Applied Mathematics and an early IB score of 42/45, he brings rigorous mathematical grounding to scalable backend systems and platform leadership.
code11 years of coding experience
job9 years of employment as a software developer
bookHigh School, International Baccalaureate, 42/45, High School, International Baccalaureate, 42/45 at Tecnol贸gico de Monterrey
bookBachelor's Degree, Computer Science and Applied Mathematics, Bachelor's Degree, Computer Science and Applied Mathematics at Yale University
languagesSpanish, English
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Github Skills (10)

pandas10
sql10
python10
database9
data-analysis9
databases9
data-types8
numpy8
testing7
pytest7

Programming languages (8)

TypeScriptC++JavaScriptHTMLJupyter NotebookNixPythonClojure

Github contributions (5)

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ibis-project/ibis

Jan 2018 - Mar 2018

the portable Python dataframe library
Role in this project:
userBack-end Developer
Contributions:5 commits, 9 PRs, 51 comments in 1 month
Contributions summary:Diego primarily contributed to the pandas backend of the ibis library. They implemented core functionalities like `ops.Where` and `round` functions for scalar values, and windowed multi-quantile calculations. Additionally, the user worked on validation rules for table schemas, demonstrating an understanding of data handling and input validation within the library. Their work is focused on enhancing the functionality and capabilities of the pandas backend within the broader context of the ibis project.
polarspythondaskdataframesdata-science
The front-end for global.pydata.org
Contributions:157 commits, 16 PRs, 135 pushes in 5 months
pythonmeta-tagsfront-endopen-graphpydata
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