
Contributed to meta-llama/llama-recipes and pytorch/tutorials by building end-to-end machine learning workflows and enhancing documentation for onboarding and usability. Developed fine-tuning pipelines for Llama Guard using Python and PyTorch, enabling safety prompt evaluation and PII detection on curated datasets. Integrated Google Workspace APIs for tool calling, allowing Llama models to interact with Calendar and Contacts through intent classification and automated scheduling. Improved documentation with setup guides and clearer examples, streamlining authentication and reducing support friction. Delivered a Torch export recipe for multiple models in pytorch/tutorials, addressing dynamic shapes and tracing errors to support reliable model export scenarios.
April 2025: Delivered two key documentation-focused calendar assistant enhancements for meta-llama/llama-recipes, focusing on onboarding, usability, and maintainability. Highlights include a streamlined Google Calendar Assistant Setup and Authentication Guide and readability improvements to the Calendar Assistant documentation. No major bug fixes; work centered on clarity and developer experience, laying groundwork for faster adoption and reduced support overhead.
April 2025: Delivered two key documentation-focused calendar assistant enhancements for meta-llama/llama-recipes, focusing on onboarding, usability, and maintainability. Highlights include a streamlined Google Calendar Assistant Setup and Authentication Guide and readability improvements to the Calendar Assistant documentation. No major bug fixes; work centered on clarity and developer experience, laying groundwork for faster adoption and reduced support overhead.
March 2025: Implemented core safety, privacy, and automation enhancements in the llama-recipes repo, delivering end-to-end fine-tuning workflows for Llama Guard and enabling Google API tool calls. Focused on producing production-ready notebooks with reproducible datasets and configurations, and on laying groundwork for automated workflows with Calendar and Contacts. Notable cleanup and documentation improvements completed to support onboarding and future iterations.
March 2025: Implemented core safety, privacy, and automation enhancements in the llama-recipes repo, delivering end-to-end fine-tuning workflows for Llama Guard and enabling Google API tool calls. Focused on producing production-ready notebooks with reproducible datasets and configurations, and on laying groundwork for automated workflows with Calendar and Contacts. Notable cleanup and documentation improvements completed to support onboarding and future iterations.
January 2025 monthly summary for pytorch/tutorials focusing on feature delivery and instructional improvements.
January 2025 monthly summary for pytorch/tutorials focusing on feature delivery and instructional improvements.

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