Contributed to chalk-ai/docs by delivering two targeted documentation features over two months, focusing on clarity and maintainability in Python-based feature computation workflows. Developed comprehensive Offline Expression Documentation to guide developers in configuring offline pathways, improving onboarding and reducing support needs. Subsequently, simplified the data storage stack documentation by removing outdated Postgres references and standardizing on Redis and DynamoDB, aligning with the project’s evolving architecture. Emphasized technical writing and Markdown to ensure consistency and accessibility across the repository. The work established a foundation for future documentation updates, supporting scalable deployments and reducing technical debt in the project’s data infrastructure documentation.