Over a two-month period, contributed to Nixtla’s open-source forecasting tools by enhancing documentation and educational resources across the nixtla and statsforecast repositories. Focused on improving onboarding and user experience, they resolved a critical documentation rendering issue by correcting image paths, ensuring consistent visuals throughout the docs system. Leveraging Python and Markdown, they expanded TimeGPT documentation with clearer tutorials, code examples, and best practices for distributed time series forecasting and anomaly detection. Additionally, they refactored the conformal prediction tutorial to improve SEO and clarity, supporting broader adoption of advanced forecasting techniques while reducing support overhead for new users.