Worked on stabilizing the deployment workflow for the brand_search_optimization module in the Shubhamsaboo/adk-samples repository, focusing on improving reliability and data integrity. Addressed a deployment script import error by leveraging the Python -m flag, ensuring the module was correctly recognized during automated deployments. This fix enabled consistent population of BigQuery tables, reducing post-deployment failures and minimizing manual debugging efforts. Utilized DevOps practices and scripting skills, primarily with Python and Shell, to validate the end-to-end deployment flow. The work enhanced the dependability of brand optimization experiments, supporting more accurate reporting and enabling faster iteration cycles for ongoing development needs.