Siddhant developed the Grok Agent Evaluation Script for the browser-use/browser-use repository, focusing on automating the evaluation of task-based search agents. Leveraging Python and applying skills in AI integration, API development, and asynchronous programming, Siddhant designed a workflow that executes searches tied to specific tasks, enabling scalable quality assurance and performance benchmarking. The script reduces manual testing effort by automating validation and feedback loops, providing clearer metrics for agent success. While the work spanned a single feature over one month, it established a robust foundation for future QA improvements and iterative development, demonstrating depth in both technical implementation and workflow design.