Junyan He developed and integrated the Deepseek OCR model for multimodal image inference within the vllm-project/vllm-gaudi repository, enabling simultaneous processing of images and text to extract actionable information for downstream analytics. Leveraging Python and deep learning techniques, Junyan focused on computer vision and model development to establish OCR-driven multimodal capabilities in a GPU-accelerated environment. The implementation emphasized robust model integration, commit traceability, and adherence to auditable, signed-off changes. This work enhanced the product’s ability to extract and process information from diverse data sources, laying a foundation for improved accuracy in multimodal AI applications without introducing major bugs.