Khuyen contributed to Nixtla’s open-source forecasting tools by enhancing documentation and educational resources across the nixtla and statsforecast repositories. She improved the TimeGPT documentation, clarifying forecasting concepts, cross-validation, and distributed computing with Python and Spark, while optimizing for SEO and onboarding. Khuyen also refactored the conformal prediction tutorial, adding visual aids and clearer explanations to support time series forecasting adoption. In addition, she resolved a critical documentation bug by correcting image paths, ensuring reliable rendering across the docs system. Her work emphasized technical writing, time series analysis, and anomaly detection, resulting in more accessible, maintainable, and user-friendly documentation.