Worked on the OpenSearch neural-search stack, delivering batch semantic highlighting features and stabilizing inner_hits processing through runtime model type resolution. Addressed a key bug in batch semantic highlighting, expanded test coverage, and improved error handling using Java and TypeScript. Enhanced the dashboards-search-relevance repository by refining the VariantDetailsModal to support RRF variants with optional parameters and robust testing. Updated the documentation-website to align API documentation with the new ext.semantic_highlighting_batch flow, clarifying request-level structure and removing legacy references. These efforts reduced user confusion, improved system reliability, and accelerated adoption of batch features across backend, frontend, and documentation components.