Worked on stabilizing the data exchange process within the LearningCircuit/local-deep-research repository, focusing on backend development and data serialization using Python. Addressed a critical bug by ensuring that similarity scores generated by the LocalEmbeddingManager were converted from float32 to native Python float, enabling seamless JSON serialization. This technical adjustment prevented runtime errors and improved the reliability of JSON-based outputs consumed by downstream services. The work contributed to the overall stability and predictability of the local embeddings workflow, reducing the risk of serialization-related failures and enhancing interoperability for dependent components within the deep-research pipeline during the development period.