Sep 2023 – Oct 2024 · 1 yr 1 mo · Seattle, Washington, United States · On-site

• Worked along side the AI/ML team to improve Siri through manual and automation testing.
• Developed and refined my QA skills in relation to Natural Language Processing, Artificial Intelligence, and Machine Learning.
• Created an automated log collection tool to replace a previously manual process, leading to reduction in tester time spent on each task
• and increased reliability/accuracy of testing results.
• Performed rigorous testing of production-grade software in a critical environment, under the pressures of hard deadlines.
• Collaborated with cross-functional teams to define task scope and deliver test results which adhere to strict requirements.
• Demonstrated proficiencies: AI, ML, LLM, NLP , TTS, Manual testing strategies, Internal tools development

Apr 2023 – Sep 2023 · 5 mos · Seattle, Washington, United States · Remote

• Selected as one of only 966 successful candidates from a pool of over 43,000 applicants for the program.
• Refactored testing suite from Unittest to Pytest, resulting in increased test modularity, readability, and reduced code duplication.
• Increased total code coverage from 72% to 80% by writing a series of unit and integration tests for previously untested code.
• Designed a dynamic GitHub workflow optimizing tests based on action, reducing overall runtime and resource use by 60%.
• Collaborated with global contributors, using Github for source control and versioning to manage individual contributions.