Youngkwan Kim developed multilingual text-to-speech capabilities for the NVIDIA/NeMo repository, focusing on enabling Hindi (hi-IN) language support. He implemented a Hindi-specific tokenizer using Python, introducing new grapheme and IPA character sets tailored for accurate language processing. To ensure production readiness, he expanded locale support and established comprehensive unit tests that validated the correctness and stability of the Hindi tokenizer. His work leveraged natural language processing and text-to-speech technologies to unlock new business opportunities in Hindi-speaking markets. Over the course of the month, Youngkwan’s contributions provided a robust foundation for scalable, production-grade Hindi TTS workflows within NeMo.