Diego聽Quintanilla
Software Engineer, Delphi at Tower Research Capital
New York, New York, United States
Summary
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Rockstar馃帗
Top SchoolDiego Quintanilla is a software engineer with 12 years of experience building data-intensive systems and platforms, currently working at Tower Research Capital after leadership and senior engineering roles at Gauntlet and Two Sigma. He combines a strong academic foundation in computer science and applied mathematics from Yale with hands-on backend engineering, particularly in data tooling and validation. At Two Sigma he progressed from intern to VP leading a modeling platform team, showing aptitude for both individual contribution and technical leadership. His open-source work on the ibis project鈥檚 pandas backend highlights practical expertise in dataframe semantics, windowed analytics, and schema validation. Based in New York, he has a track record of shipping robust, production-grade systems in quantitative and research-driven environments. Colleagues would note his knack for turning subtle data modeling challenges into reliable, well-tested implementations.
12 years of coding experience
11 years of employment as a software developer
High School International Baccalaureate, High School International Baccalaureate at Tecnol贸gico de MonterreyBachelor's Degree Computer Science and Applied Mathematics, Bachelor's Degree Computer Science and Applied Mathematics at Yale University
Spanish, English
Github Skills (10)
pandas10
sql10
python10
database9
data-analysis9
databases9
numpy8
datatypes8
pytest7
testing7
Programming languages (8)
Github contributions (5)
ibis-project/ibis
Jan 2018 - Mar 2018
the portable Python dataframe library
Role in this project:
Back-end Developer
Back-end DeveloperContributions: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
pydataglobal/pydataglobal.github.io
Jun 2020 - Nov 2020
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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