• Introduced autoregressive (context-aware) topic suggestions to Microsoft Viva Topics’ topic picker.• Leveraged a deep learning language model to predict typed topics from a tenant’s knowledge base, with a focus on ensuring scalability.• Researched and implemented optimizations for ultra-low latency model inference and efficient data storage.