AAKASH P

• Designed and maintained Python-based automation frameworks for Web UI and REST API testing using Playwright.
• Automated end-to-end functional, regression, and UAT test suites aligned with application architecture and acceptance criteria.
• Performed staging, smoke tests, and production validations to ensure release readiness.
• Integrated automation suites into GitLab CI/CD pipelines, enabling PR-based validation and continuous regression testing.
• Conducted API testing and secure flow validation, covering authentication, authorization, and negative scenarios.
• Analyzed UI, API, and backend architecture to identify quality gaps, and recommend stability and testability improvements.
• Executed JMeter performance tests to validate throughput, latency, and system behavior under load.
• Logged, tracked, and triaged defects in JIRA, collaborating closely with developers for timely resolution.
• Maintained test plans, regression suites, and QA documentation for QA and support teams.
• Worked with cross-functional and international stakeholders, supporting flexible meeting schedules.

Technologies: Python, Playwright, REST APIs

Tools: GitLab CI/CD, Postman, JMeter, JIRA, Confluence.

• Developed and enhanced Python-based automation suites for web UI and API testing, with a focus on scalability and maintainability.
• Automated regression and smoke test suites reduce manual testing effort and release risk.
• Designed and executed REST API test cases using Postman, including environment configuration and contract validation.
• Performed backend validation using SQL queries and data checks.
• Used AWS CloudWatch and Linux-based logs for production issue investigation and debugging.
• Executed JMeter load and stress tests to benchmark system performance and validate fixes.
• Collaborated with Customer Success teams to reproduce customer-reported issues, and convert them into regression test cases.
• Conducted detailed defect triage in JIRA, providing logs, reproduction steps, and impact analysis.
• Created QA dashboards, execution reports, and risk summaries for leadership.
• Supported junior QA members through reviews, guidance, and knowledge sharing.

Technologies: Python, Playwright, REST APIs, DynamoDB, MySQL.

Tools: Postman, AWS CloudWatch, GitLab CI/CD, JIRA.