Nicholas Hunt-walker
Software Engineer III at Indeed
Caldwell, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolNicholas Hunt-walker is a senior software engineer with 12 years of experience who blends scientific rigor from a graduate background in astronomy with practical engineering across companies like Starbucks, Verica, and Indeed. He builds reliable internal tools for data monitoring and evaluation, emphasizes clear system design, and brings hands-on expertise in Python, test automation, and full-stack development. His open-source testing contributions to the well-regarded astroML project highlight a focus on correctness and reproducibility in scientific code. As a former lead instructor at Code Fellows, he values clean, maintainable code and mentors early-career engineers through curriculum design and capstone guidance. Based in Caldwell, NJ, he uniquely leverages large-data analysis skills from astrophysics to solve complex production problems and improve system reliability.
12 years of coding experience
10 years of employment as a software developer
Master's of Science, Astronomy, Master's of Science, Astronomy at University of WashingtonBachelor of Science (B.S.), Physics and Mathematics, Bachelor of Science (B.S.), Physics and Mathematics at CUNY York CollegeNanodegree, Data Analysis, Nanodegree, Data Analysis at UdacityBusiness Administration and Management, General, Business Administration and Management, General at Queensborough Community College of The City University of New York (CUNY)
Stackoverflow
66reputation
143reached
2answers
0questions
Github Skills (10)
python10
numpy10
testing10
time-series8
data-analysis8
pytest7
machine-learning6
django6
scikit-learn5
scikit5
Programming languages (6)
Github contributions (5)
astroML/astroML
Jun 2015 - Jul 2015
Machine learning, statistics, and data mining for astronomy and astrophysics
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 11 PRs, 5 comments in 23 days
Contributions summary:Nicholas primarily contributed to testing within the repository, writing and modifying tests. They implemented and expanded upon tests for various components of the astroML library, focusing on aspects such as Gaussian Mixture Models, Lomb-Scargle periodograms, and random number generation. The contributions included adding new test cases, ensuring compatibility between different implementations, and making the code PEP8 compliant. These changes aimed to improve the reliability and correctness of the library.
data-miningmachine-learningstatistics
nhuntwalker/mystuff
Oct 2013 - Jun 2016
Contributions:45 commits, 22 pushes in 2 years 8 months
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