Oxana Andriuc is an SQA Engineer with a decade of experience combining manual, automation, and performance testing to improve software reliability and efficiency. She has driven quality across consumer and embedded products at companies like iRobot, ColdSnap, and currently SharkNinja, bringing hands-on Linux/embedded test know-how and electro-mechanical validation to software quality efforts. Comfortable with tools such as JIRA, TestRail, Postman and basic Selenium, she also programs test automation in Python and has formal training in Playwright-based API testing. Beyond QA, Oxana’s background in marketing and media planning gives her a strong product-and-customer-focused perspective that helps prioritize test coverage and communicate clear, data-driven recommendations to stakeholders. Her open-source contributions to the widely used pymatgen project show a disciplined focus on code correctness and maintainability, reflecting an engineer who bridges testing, development, and reproducible scientific software.
10 years of coding experience
6 years of employment as a software developer
Courses Nielsen Television Audience Measurement, Courses Nielsen Television Audience Measurement at Nielsen Television Audience Measurement
Sqa concepts & implementation, Sqa concepts & implementation at Westfall team
API QA AUTOMATION JAVASCRIPT / PLAYWRIGHT, API QA AUTOMATION JAVASCRIPT / PLAYWRIGHT at Brunovski IT Education Center
Ability to apply for Rebate Program, Ability to apply for Rebate Program at Energy Efficient Rebate Program
International Economic Relations Economics, International Economic Relations Economics at TRADE CO-OPERATIVE UNIVERSITY OF MOLDOVA
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
Role in this project:
Back-end Developer
Contributions:6 commits, 1 PR in 2 days
Contributions summary:Oxana primarily contributed to the `pymatgen` library, focusing on the `analysis` and `transformations` modules. Their work included adding features to the `add_adsorbate` function, integrating updates from the upstream repository, and adding tests to verify the correct behavior of the adsorbate translation feature. Further changes involved formatting adjustments to the code and updating comments, showcasing a focus on code maintainability and correctness.
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
Contributions:2 PRs, 46 pushes, 3 branches in 3 years 11 months
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