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Development: I focused on delivering high-impact, maintainable Python code by adhering to best practices and leveraging advanced concepts. By writing modular, reusable, and concise solutions, I ensured clarity and efficiency, simplifying future maintenance and collaboration. My work on the BRE project included leading the development of 80-85% of the Streamlit Demo UI, integrating advanced features such as multi-page apps, dynamic tables, and visually engaging graphs. I utilized Python libraries with multiprocessing capabilities to optimize performance for resource-intensive processes. Additionally, I built FastAPIs to enable seamless backend-frontend communication, incorporating robust exception handling to ensure reliability. I proactively supported peers, fostering collaboration and knowledge-sharing within the team.

Testing: To ensure thorough validation, I implemented automated testing with pytest, streamlining the process with single-command test execution. Additionally, I manually analyzed COBOL syntax and semantics to create ground truth test cases, ensuring all edge cases were covered and enhancing code reliability.

Deployment: I took ownership of deploying and maintaining the BRE Streamlit application, ensuring error-free transitions during critical demos and uninterrupted access for users. By closely monitoring the application, I consistently delivered a seamless user experience.

Capability Building: I actively expanded my expertise to meet evolving project demands. This included enhancing regex-building skills for precise COBOL statement extraction, exploring Python-compatible libraries to strengthen UI capabilities, and learning CSS, HTML, and JavaScript to optimize user interfaces. My in-depth understanding of COBOL programming allowed me to align technical solutions with business objectives. Additionally, I introduced batch processing techniques to improve execution speed and guided peers in mastering regex, fostering team growth.