Isaac N
Cell Saver Technician at AICamp
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolIsaac N is a data professional with 12+ years of experience translating business needs into robust data solutions across startups and hyperscalers, currently blending healthcare work as a Cell Saver Technician with developer advocacy and AI entrepreneurship in San Francisco. He has a strong background in database technologies, CRM, and multi-cloud query optimization (AWS, GBQ, Azure), and a track record of bridging technical teams and clients to deliver successful proofs of concept. Isaac contributes to prominent open-source projects like pandas—improving test coverage and fixing subtle edge cases—while co-founding a Gen AI startup and evangelizing AI tooling through AICamp. Known for pairing curiosity-driven learning (active in AI hackathons) with practical delivery, he brings both cross-functional communication and hands-on engineering to complex data problems.
12 years of coding experience
10 years of employment as a software developer
University of Wisconsin-MadisonBachelor's degree, Data Science, 3.88, Bachelor's degree, Data Science, 3.88 at University of California, Los Angeles
Vietnamese, English, Spanish
Github Skills (6)
pandas10
python10
test-automation10
testing10
data-analysis9
data-science8
Programming languages (2)
Github contributions (5)
pandas-dev/pandas
Feb 2014 - Dec 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:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:7 commits, 2 PRs, 22 comments in 1 year 9 months
Contributions summary:Isaac primarily contributed to improving the quality and reliability of the pandas library by adding and modifying tests. They added tests for the `to_offset` function, addressing issues with leading zeroes in the input strings. The user also fixed a misleading error message in `DataFrame.from_records` and updated tests related to the `__contains__` method for DatetimeIndex and TimedeltaIndex to account for duplicated elements. Furthermore, the user introduced tests for deprecated arguments with a mapping to the new arguments.
pythondatalabeled-datamanipulationdataframes
ischwabacher/afni
May 2015 - Jan 2016
Contributions:19 pushes, 3 branches in 7 months
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