Over a two-month period, contributed to the causify-ai/tutorials and causify-ai/helpers repositories by developing foundational data quality assurance tooling and scalable tutorial infrastructure. Built LangChain-based Q&A workflows, integrating document loading, text splitting, and vector store management using Python and Docker. Enhanced time series forecasting tutorials with Prophet, adding interactive Plotly visualizations and improved metric tracking. Maintained repository hygiene through dependency updates, Docker build improvements, and secure API key management. Addressed reproducibility and environment setup for TensorFlow tutorials, while also expanding notebook assets and documentation. The work emphasized backend development, CI/CD setup, and robust configuration management to support faster, safer project delivery.