Python Automation Lead with 7+ years of experience in designing and developing Python-based automation frameworks and test scripts for software validation. Proven expertise in automating processes, achieving 85% test automation at Amazon, reducing testing cycles from 5 days to 2 days per release, and delivering ~75% execution time reduction with significant cost savings in previous roles.
Skilled in Pytest, Linux environments, and debugging tools like ADB/Fastboot, with hands-on experience validating Display Software Stacks for Amazon Devices’ SoCs. Developed robust frameworks incorporating KPI-driven reporting, performance analysis, and error handling for efficient validation workflows.
Proficient in tools like Jenkins, Git, and CI/CD pipelines, with a proven track record of implementing validation strategies and driving innovation. Adept at streamlining testing processes, enhancing productivity, and ensuring software reliability through automation and rigorous validation practices.
Improved Pearson Similarity for Collaborative Filtering Recommendation System
6th International Conference on Computing for Sustainable Global Development (an IEEE Conference), 2019
https://ieeexplore.ieee.org/document/8991179