Tanuj Rajput

I’m a computer science engineering student and AI intern focused on building conversational automation and multi-agent systems that actually work in real product flows. I enjoy turning LLM capabilities into structured, reliable experiences with clear routing, scoring, and deployment-ready APIs.

At SaralOne, I’m building a WhatsApp AI lead qualification system to automate lead engagement and qualification workflows—capturing, scoring, and routing leads from user responses. Previously at Metry AI Inc., I developed AI-powered appointment booking chatbots using LangGraph and FastAPI, including flows for bookings, cancellations, rescheduling, and secure handling of user data with privacy best practices.

I also contribute to open source and ship end-to-end prototypes: PocketPaw, a multi-agent autonomous AI project on GitHub; SynthraAI, a multi-agent research system with LangGraph agents, human-in-the-loop refinement, MongoDB-backed secure session memory, and LangSmith tracing; and FindMyGadget, an AI gadget recommendation assistant with Gemini LLM, FastAPI/JWT authentication, and encrypted API-key storage for safe integrations.