Jeff Carey
Software Engineer at Salesforce
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolJeff Carey is a versatile software engineer with nine years of experience building full-stack web and data solutions, currently developing Java and modern JavaScript on Salesforce Experience Cloud. He combines hands-on engineering (React, Angular, Node.js, Python, SQL) with product and people leadership, having led integration and micro front-end efforts as an engineering manager at Personal Capital. His background spans financial technology and trading systems, where he delivered analytics-driven features and production-grade UI and mobile experiences for complex financial products. An active open-source contributor, he has improved pandas' CSV parsing and Excel export behavior—work that touches a widely used data science library. Comfortable moving between front-end, back-end, and data engineering, Jeff brings practical cross-disciplinary fluency and a track record of shipping reliable systems in regulated financial environments.
9 years of coding experience
19 years of employment as a software developer
Bachelor of Science (BS), Information Systems, Bachelor of Science (BS), Information Systems at Drexel UniversityMathematics in Finance, Mathematics in Finance at New York University
Chinese, Spanish, English
Stackoverflow
2,343reputation
205kreached
101answers
2questions
excel
top-5%
Github Skills (16)
testing10
pandas10
python10
data-analysis10
c119
excel9
c179
html6
excel-formula6
javascript6
chartjs6
jquery6
vba6
mysql6
text-alignment4
Programming languages (4)
Github contributions (5)
pandas-dev/pandas
Dec 2016 - Mar 2017
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:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:7 commits, 8 PRs, 14 comments in 3 months
Contributions summary:Jeff contributed to the pandas library by fixing bugs related to data parsing, particularly addressing issues with the `nrows` argument and stream size checks within the C parsing engine. The user also implemented test cases to ensure correct behavior of the `read_csv` function with empty inputs. Furthermore, the user added the functionality to freeze panes when exporting data frames to Excel. These contributions improved data handling and export functionalities.
data-analysisdata-structuredata-structurespythonpandas
jeffcarey/valv
Mar 2017 - Apr 2017
Contributions:18 commits, 13 pushes, 1 branch in 1 month
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