Developed and delivered boolean serialization support for the Lightning-AI/litData repository, focusing on enhancing data fidelity in streaming pipelines. Designed and implemented a dedicated BooleanSerializer in Python, integrating it into the existing serializer registry to standardize boolean handling across both streaming and optimisation workflows. Employed test-driven development practices to expand test coverage, ensuring robust validation of serialization and deserialization processes. This work addressed the need for reliable boolean data flow, reducing downstream parsing errors and enabling predictable behavior in the litdata.optimise() workflow. Demonstrated expertise in data serialization, registry-based architectures, and Python testing methodologies throughout the feature’s development lifecycle.