Worked on code quality improvements in the truera/trulens repository, focusing on standardizing and cleaning up import statements within dummy app examples. The approach involved refactoring Python code to remove unnecessary path adjustments and updating references to the TruLens library, which enhanced both clarity and maintainability. By aligning import patterns with library reference standards, the changes reduced complexity and improved readability for future contributors. This work, rooted in data science and machine learning practices, aimed to streamline onboarding and support long-term stability. No bugs were addressed during this period, with efforts concentrated on a single feature that improved code organization and consistency.