Results-driven Test Engineer with Honda R&D, specializing in functional and regression testing of infotainment systems. Expert in automating test cycles with Python, enhancing efficiency and traceability. Proven ability to collaborate effectively with cross-functional teams, ensuring rapid defect resolution and software stability. Skilled in defect tracking and committed to quality assurance.
· Designed and executed functional and regression test cases for infotainment systems, focusing on features like Bluetooth, voice recognition, and media playback across varied vehicle states.
· Automated test cycle and execution creation using Python scripts integrated with the Zephyr Scale API, streamlining test management and improving traceability.
· Collaborated with developers and QA leads to log, triage, and validate defects in Jira, contributing to faster resolution times and enhanced software stabilitymptly.
1. USB Stress Test Tool:
Created a custom program to validate the upper file and folder limits of USB media systems. The tool automatically fills a USB drive with up to 65,535 audio files across 700 folders, using a variety of formats such as MP3, WAV, AAC, and OGG. This allowed for comprehensive testing of how the system handles indexing, playback, and file compatibility at maximum capacity, helping uncover format-specific bugs and UI behavior under stress.
2. Zephyr Automation Script:
Developed a Python-based script to automate the creation of test plans, test cycles, and test executions in Zephyr Scale through its API. Designed to take structured Excel input or predefined JSON data, the tool streamlines the entire testing setup process, reduces human error, and ensures repeatability for large-scale test operations. Ideal for accelerating regression test setups and supporting continuous integration pipeline