Engineered a RAG-based recipe recommender to handle 1,000+ concurrent queries with latency under 1 second, personalized to user input such as ingredients, dietary restrictions, and time. • Improved recommendation accuracy by 35% using semantic search with Hugging Face embeddings. • Integrated SingleStore vector DB
