Worked on openai/openai-python and tensorzero/tensorzero, focusing on reliability and data validation for AI workflows. Improved the AsyncOpenAI documentation by correcting import statements and aligning code with Python conventions, making async examples runnable and reducing onboarding friction for developers. Delivered a data validation and prompt length estimation feature for OpenAI fine-tuning jobs in tensorzero, using Python and YAML to check data integrity, estimate prompt lengths, and warn about token limits. Updated dependencies and configuration to support these changes, enhancing workflow safety and observability. Demonstrated attention to documentation, CI/CD, and dependency management to reinforce release quality and developer experience.