Sean Malloy
Software QA Engineer 3 at Sony Interactive Entertainment
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolSean Malloy is a Software QA Engineer with eight years of hands-on experience building and validating reliable software across web, distributed systems, and ML-adjacent data pipelines. Based in Oakland, he has shipped automation and CI workflows at scale using Jenkins, GitHub Actions, CircleCI and Snyk, and helped create Selenium-based testing libraries and dynamic test generators for Splunk. He brings practical backend coding skills in Python, C/C++, Java and SQL, and has applied data tooling like Pandas, Spark, and HADOOP to analytic dashboards and weather-data APIs for safety-critical use. Sean contributes to major open-source projects such as pandas, where his lint fixes and test-stability work improved code quality and maintainability. Comfortable from low-level debugging (GDB, CUDA, OpenMP/OpenMPI) to front-end SAPUI5 dashboards, he blends software development, QA, and data analysis to reduce risk and accelerate delivery. Ambitious to deepen his CS coding expertise, he pairs production QA rigor with an appetite for machine learning and distributed systems challenges.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Sciences and Engineering, Bachelor's degree Computer Sciences and Engineering at University of California, DavisMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of the Pacific
Github Skills (6)
pandas10
linting10
python10
data-analysis10
data-science9
testing9
Programming languages (2)
Github contributions (5)
pandas-dev/pandas
Nov 2022 - Dec 2022
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
Back-end DeveloperContributions:32 reviews, 6 commits, 7 PRs in 20 days
Contributions summary:Sean primarily focused on improving code quality and addressing linting issues within the pandas library. Their contributions include fixing pylint errors and style inconsistencies across multiple files, particularly those related to input/output, and styling features of the pandas library. The user also worked on resolving test failures and addressing comments from code reviews, indicating a focus on code maintenance and adherence to project standards. The commits demonstrate a strong understanding of the pandas codebase and its internal structure.
pythondatalabeled-datamanipulationdataframes
seanjedi/Personal-Webpage
Dec 2018 - Jul 2023
Contributions:9 pushes, 2 branches in 4 years 7 months
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