Worked on the zama-ai/tfhe-rs repository to enhance developer onboarding and safe usage by delivering targeted documentation improvements. Focused on clarifying the use of cryptographic parameters and security models such as IND-CPA^D and IND-CPA, the work detailed their effects on error probabilities and computational efficiency. Updated default parameters for both CPU and GPU backends to reflect current best practices. Enhanced accessibility by linking the documentation to a comprehensive handbook and referencing recent research. Utilized Markdown for technical writing and documentation, demonstrating a methodical approach to improving clarity and usability for developers working with advanced cryptographic systems.