Shipra Maurya

I’m a B.Tech in Computer Science and Engineering (AIML) student who builds production-minded software—especially backend services, full-stack systems, and AI-powered assistants.

In my Software Engineer Intern role at Paytm Money, I work with the backend Equity team on scalable financial services and trading-related systems. I contribute to Java/Spring Boot microservices for API development, bug fixes, and production support, using Redis caching, Kafka-based messaging, and CI/CD pipelines.

On the AI side, I developed an AI-powered chatbot for student queries using Retrieval-Augmented Generation (RAG). I implemented vector embeddings and vector databases, and integrated LangChain with LLMs to return context-aware answers grounded in course data.

My projects reflect the same end-to-end approach: I built a full-stack stock trading app with Spring Boot and MySQL (auth, live market data, portfolio tracking, buy/sell flows) and integrated an AI chatbot using the Google Gemini API. I also created an end-to-end university chatbot with React, Node.js/Express, and a FastAPI RAG pipeline (OpenAI + LlamaIndex + vector search), plus a computer-vision E-Attendance system using OpenCV for real-time face recognition and CSV reporting.