Adel Basli contributed to openai/openai-python by improving the reliability of asynchronous usage documentation, ensuring the AsyncOpenAI README example was runnable by correcting import statements and aligning with Python conventions. In tensorzero/tensorzero, Adel developed a data validation and prompt length estimation feature for OpenAI fine-tuning workflows, implemented in Python notebooks. This addition validated fine-tuning data before job submission, estimated prompt lengths, and issued warnings for token limit violations, reducing wasted compute and improving model quality assurance. Across both projects, Adel applied skills in Python, data validation, and dependency management, delivering targeted improvements that enhanced onboarding, documentation clarity, and workflow safety.