Fernando Pratama developed Unicode-preserving JSON serialization for tool history and reduced tool messages in the Unique-AG/ai repository, focusing on backend and API development using Python. His work ensured that multilingual content remained readable in LLM-facing payloads by aligning token-reduction serialization to prevent Unicode escapes, directly addressing encoding issues in tool workflows. He implemented comprehensive regression tests for multilingual data and JSON-sensitive characters, using pytest to validate history management and token reduction across toolkit components. Although the scope was limited to a single feature over one month, the solution demonstrated careful attention to reliability and multilingual support in backend processing.