Python Automation Engineer with 3.7 years of experience in developing automation frameworks using Python, Selenium, and Pytest. Specialized in Post-Silicon Validation Automation, Automation Testing, and Debugging Complex Systems. Proficient in building scalable automation solutions and improving validation efficiency. Hands-on experience with CI/CD tools (Jenkins) and strong understanding of SDLC, STLC, OOPS concepts. Recognized for providing high impact automation solutions in collaboration with cross-functional teams.
Developed and enhanced framework DTAF written in Python for Granite Rapids(Xeon E Processor) for automation of Post Silicon Validation test cases which reduce the manual efforts by more than 70 percent.
Created custom exceptions to enhance error handling and user experience.
Designed and developed robust automation scripts using Python and Selenium to validate functionality across Networking, Memory, Accelerator and Storage.
Delivered automation solutions for IVL and GNRD, projects, enhancing domain-specific development for Networking.
Improved CI/CD integration with automation scripts, create pipelines with Jenkins and open-source tools helps in increasing testing efficiency and reliability.
Conducted code quality analysis to identify and resolve code smells, ensuring maintainable code bases.
Enhanced process validation for data manipulation, and system integration.
Utilized GIT/GitHub for Source Control and Version Management of all codes and resources.
Applied basic front-end technology like HTML, CSS, JavaScript for integrated solutions.
Project - IVL
Intel
06.2023 - 09.2024
Automated 250+ test case across Virtualization, Networking, Security, Accelerator, Media and Manageability domains using Python, Pytest, and Selenium.
Worked on Python Framework to support selenium test cases and automated Test cases related to BMC web to test the functionalities with releases.
Have good knowledge of BIOS and firmware, and worked with different OS (Linux, Windows, ESXI).
Achieved a 20 percent boost in operational efficiency by collaborating with stakeholders and delivering Python-based solutions.
Reduce testing time and manual efforts for BKC validation team by implementing efficient automation workflows.
Project - UFO (Unified Framework for Integrated Orchestration)
L and T Technology and Services
05.2021 - 05.2023
Served in the initial stage for this project started by LTTS to develop a product.
Contributed to the design, structure and development of a scalable framework for remote host connections at a large scale and streamlining software deployment on Host as well as SUTs following one to many approach.
Performed E2E testing and resolved platform issues.
Reviewed and tested the codebase across Development, resolved JIRA-reported bugs, and ensured end-to-end process completion.