Worked on transformerlab-api and transformerlab-app to enhance data workflows, training flexibility, and multimodal capabilities. Focused on robust error handling for dataset downloads, providing clear user feedback and graceful failure modes. Developed centralized utilities for data formatting and templating, improving data quality and supporting both single- and multi-GPU Llama trainer configurations. Integrated multimodal support for vLLM, enabling diverse input processing. On the frontend, implemented feature flagging and conditional rendering for chat template formatting in React. Leveraged Python, JavaScript, and TypeScript throughout, applying skills in backend development, machine learning integration, and debugging to deliver safer, more maintainable model training pipelines.