Mohd Saleem

Software Development Engineer in Test (SDET) at Infosys specializing in automation framework development, QA automation, and CI/CD integration. Expert in Python and Robot Framework with proven experience in building scalable test automation solutions leveraging ML concepts for anomaly detection and intelligent defect triage. Skilled in Azure DevOps (ADO), Jenkins, Kubernetes-based execution, telemetry data analysis, and log analysis.

Strong track record of improving testing efficiency, product reliability, and accelerating release cycles through intelligent automation and cross-functional collaboration.

Software Development Engineer in Test (SDET) at Infosys (2022-08 – Present)

• Architected and scaled a unified automation framework using Robot Framework, Playwright, Selenium, Appium + Python, enabling reusable test components and standardised automation practices across projects.
• Reduced testing cycle time by 30% by optimising automation execution, improving framework design, and introducing intelligent rerun strategies.
• Designed framework architecture supporting multi-environment execution, configurable run profiles, trace collection, log analysis, telemetry data interpretation, and extensible reporting pipelines.
• Built reusable automation libraries and keyword-driven abstractions that reduced duplication and improved maintainability across large test suites with Jira integration for test management.
• Owned CI/CD automation pipelines using Jenkins, including Kubernetes-based execution for scalable, isolated, and parallel test runs.
• Integrated TestRail, Jira, Kafka, MySQL, Redshift DB and Azure Blob storage into automation workflows for automated reporting, defect creation, defect triage, and trace management.
• Improved release reliability by implementing structured failure categorisation, telemetry data analysis, artifact collection and automated post-execution diagnostics.
• Built AI-assisted utilities leveraging ML concepts for failure analysis and execution insights, helping accelerate defect triage and reduce flaky test noise.
• Leveraged Generative AI tools to accelerate test script creation, debugging workflows, and automation maintenance
• Collaborated with developers and DevOps teams to drive shift-left testing and improve overall software quality.
• Recognised by clients and engineering leadership for ownership of automation framework initiatives and consistent delivery of high-quality solutions.

B.Tech in Computer Science and Engineering – ACE Engineering College (2018 – 2022)