SubscriptionFlow

A summer in London at a YC (W22) startup. Support and success teams needed answers that lived in SQL they couldn’t write, so I built a RAG-powered Text-to-SQL model with VannaAI, GPT-4o, and ChromaDB, embedding 500+ SQL Q&A pairs, 140+ schemas, and 55+ docs so the model answered from the company’s real data instead of hallucinating (75% fewer hallucinations, 92% faster retrieval). Also designed a 4-class churn prediction pipeline on AWS SageMaker so retention work could be targeted instead of guessed.