A former AI lead at Koo has successfully scaled a multilingual content safety system to 60 million users by developing KooBERT, a purpose-built transformer model for Indian languages. This architecture addresses complex linguistic challenges such as code-mixing and transliteration through the real-time deployment of fine-tuned large language models for toxicity detection. The implementation proves that integrating safety and personalization systems into a unified foundation is essential for enforcing responsible AI standards within diverse and high-scale production environments.
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