Shafaq Siddiqi is a Quality Analyst with six years of experience in both waterfall and agile environments, currently based in Houston, Texas. She specializes in automation testing using Selenium (WebDriver/Grid), TestNG/JUnit, Cucumber, Jenkins, and API testing tools like Postman and SoapUI, while also handling backend testing with complex SQL across relational databases. At Ameri Source and Hatford Financial Service Group she streamlined defect lifecycles in JIRA and contributed to CI/CD and test-suite orchestration via Maven and Jenkins. Beyond testing, she has made substantive open-source contributions as a back-end developer and ML engineer to the notable apache/systemds project—adding SVM training, outlier detection, MICE imputation and schema-detection builtins—illustrating a strong aptitude for data-science tooling and algorithmic implementation. Her blend of hands-on automation, backend SQL proficiency, and practical ML-system contributions makes her effective at bridging QA, engineering, and data workflows.
6 years of coding experience
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Comsats university islamabad pakistan
An open source ML system for the end-to-end data science lifecycle
Role in this project:
Back-end Developer & ML Engineer
Contributions:35 reviews, 128 commits, 129 PRs in 3 years 2 months
Contributions summary:Shafaq implemented a new built-in function for L2-SVM training and also a new dml-bodied built-in function msvm (multiclass-svm). The user created a new built-in function detectSchema for syntactic types and a new built-in function for outlier detection via std dev. Additionally, the user added several more builtins including for multiple imputation using chained equation (MICE), for set intersection, and for functional dependency discovery.
Contributions:122 pushes, 99 branches in 3 years 4 months
javaapache
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