Arshdeep Singh
Summary
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RockstarArshdeep Singh is a software engineer with eight years of experience split between big tech and startups, currently a Member of Technical Staff at xAI in the San Francisco Bay Area. He was a founding engineer at Relicx where he helped build a copilot for testing that led to acquisition by Harness, and has hands-on experience at Google and several engineering internships. His work spans backend systems, test automation, and code quality—evident from open-source contributions to Google's ClusterFuzz (maintainability and linting improvements) and targeted test work in SymPy's Piecewise functionality. A BITS Pilani CS graduate with a 9.03/10 GPA, he brings a product-minded engineering approach that favors robust, well-tested systems and behind-the-scenes reliability improvements.
8 years of coding experience
Github Skills (12)
testing10
linting10
computer-algebra10
python10
code-formatting10
math9
mathematics9
fuzzing9
vulnerabilities8
security8
pytest8
py8
Programming languages (6)
Github contributions (5)
google/clusterfuzz
Jun 2020 - Aug 2020
Scalable fuzzing infrastructure.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 commits, 20 PRs, 224 comments in 2 months
Contributions summary:Arshdeep primarily focused on fixing linting issues and fixing the order of imports across the repository. Their changes affected several files within the `src/appengine` and `src/local` directories. The user also addressed code formatting, spacing, and other style-related issues throughout the codebase. These contributions suggest a focus on code quality and maintainability.
scalablevulnerabilitiessecurityinfrastructurefuzzing
sympy/sympy
Jun 2018 - Jun 2018
A computer algebra system written in pure Python
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 1 PR, 11 comments in 1 day
Contributions summary:Arshdeep contributed significantly to the testing of the sympy library, focusing on the `Piecewise` function and its related functionalities. Their commits primarily involve fixing issues, adding and updating test cases, and ensuring the correctness of the library's behavior. The user demonstrated the ability to understand and modify existing tests, as well as to write new tests to cover specific edge cases. The contributions are focused on improving the reliability and accuracy of the sympy library through comprehensive testing.
mathpythonsciencecomputer-algebra-systemalgebra
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