Building real-time intent recognition achieving sub-500ms latency with 70% accuracy improvement, and implementing Query AutoComplete using Ghosting approach with N-gram models and fine-tuned GPT-2.
System design exploration on detecting harmful content using NLP, Computer Vision, and ML at scale. Covers sentiment analysis, hate speech detection, content filtering, and real-time moderation strategies.