At Rappit, I deliver microservices for enterprise clients and developed a vector database and LLM inference layer for document classification, improving accuracy and reducing processing latency. I also built prospect-specific proof-of-concept demos that contributed to onboarding new customers.
Earlier at Rappit, I built an e-commerce AI assistant with Weaviate vector search, ElasticSearch keyword fallback, and a LangGraph-orchestrated chatbot. At Litmus7, I built an MCQ generation application from requirements to deployment, with a Python/Flask backend integrating an LLM API.
