Maria Kuntz
Manager, Simulation And DataScience Engineering - Supply Chain
Wellesley, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolMaria Kuntz is a seasoned software leader with over two decades of experience and a recent focus on simulation and data science for supply chain at Chewy. She blends hands-on backend development and API design—evident in contributions to the prominent Galaxy open-source project—with proven management of cross-functional engineering teams in fintech and e-commerce. Her background spans investment compliance and portfolio construction technology at Wellington Management and leading development of trading and performance systems, giving her a strong footing in auditability and regulated environments. Comfortable with Linux and open infrastructure, she also contributes technical writing and training materials to help onboard users to complex systems. Based in Wellesley, MA, she combines quantitative training from Harvard and Amherst with a pragmatic track record of turning complex domain requirements into reliable, production-grade software.
4 years of coding experience
23 years of employment as a software developer
B.A Economics, B.A Economics at Amherst CollegeM.A. Regional Studies/Quantitative Methods, M.A. Regional Studies/Quantitative Methods at Harvard UniversityHarvard Kenneth C. Griffin Graduate School of Arts and Sciences
French, Russian, German
Github Skills (20)
python10
apidoc10
back-end-development10
user-manual10
configuration-management10
celery10
api10
trainings10
galaxy10
documentation10
api-design9
restful-api9
api-rest9
bioinformatics9
rest-api9
Programming languages (13)
Github contributions (5)
galaxyproject/galaxy
Sep 2022 - Sep 2024
Data intensive science for everyone.
Role in this project:
Backend Developer
Backend DeveloperContributions:2 reviews, 5 PRs, 25 comments in 2 years
Contributions summary:Maria primarily contributed to backend functionalities, focusing on API development and configuration within the Galaxy project. Their work included implementing new API endpoints for configuration and encoding, modifying existing API interactions with the Tus service, and addressing code quality issues like typos. Furthermore, the user was responsible for updating and refactoring core configuration management logic. This indicates a focus on extending and maintaining the server-side aspects of the data-intensive science platform.
pythonsciencepipelinednadata-science
galaxyproject/training-material
Jul 2022 - Jul 2022
A collection of Galaxy-related training material
Role in this project:Technical Writer
Technical WriterContributions:9 reviews, 3 commits, 13 PRs in 7 days
Contributions summary:Maria primarily contributed to the repository by updating and expanding the documentation, specifically focusing on a tutorial related to Celery and its integration within the Galaxy project. They revised existing slides, added new content, included screenshots of the Flower dashboard, and restructured the text for clarity. Furthermore, the user made revisions to the documentation on interactive tools, suggesting an effort to improve user understanding of these features.
chip-seqmetagenomicsrnaseqtraining-materialusegalaxy
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