Worked on the langchain-ai/langchain repository to deliver a feature that reduced the default installation size by approximately 95 percent, enabling more lightweight deployments. Achieved this by refactoring the langchain_huggingface module to make heavy dependencies like transformers and sentence-transformers optional, using TOML for package configuration and dependency management. Introduced an opt-in 'full' extra to preserve local inference capabilities for users who require offline deployment. The approach improved startup performance, reduced disk usage, and lowered storage and network costs. Demonstrated skills in package management and code refactoring, focusing on maintainability, performance, and broader adoption for diverse deployment environments.