Developed deployment infrastructure for the embedding service in the ProtoLLM repository, focusing on reproducibility and scalability for SDK users. Leveraged Docker Compose and YAML to orchestrate ChromaDB, HuggingFace models, and supporting services such as RabbitMQ, Redis, Celery workers, and Flower, enabling one-command deployment and streamlined onboarding. The work established a robust CI/CD pipeline and containerized environment, ensuring consistent deployments and laying the groundwork for future feature expansion. By integrating deployment scripts and comprehensive service configurations, the developer addressed the need for reliable embedding capabilities and simplified the process for both new and existing contributors to the project.