Charles Ahn developed on-premise deployment support for the Model Engine in the scaleapi/llm-engine repository, focusing on robust queue management and storage integration. He implemented Redis-based queue depth monitoring using LLEN, enabling autoscaling and supporting both Redis-present and Redis-absent scenarios. Charles refactored the S3FilesystemGateway to streamline on-prem S3 operations, centralized configuration management, and improved pagination for object listing. His work included compatibility updates for vLLM 0.11.1, enhanced test coverage, and multi-architecture Dockerfile support. Using Python, Docker, and Redis, Charles delivered a well-tested, maintainable backend solution that improved reliability and observability for diverse deployment environments.