Shubham User

I’m a Backend & Generative AI Engineer with 3+ years of experience designing and shipping production-grade LLM-powered systems end-to-end. I focus on Retrieval-Augmented Generation (RAG) pipelines, multi-agent AI systems, and schema-driven ETL/data pipelines for real operational needs.

In my current role, I build end-to-end AI systems for compliance, logistics, and analytics—like a modern RAG system for compliance documentation, citation-backed RAG chatbots, and a Gemini-based legal agreement generator that cut manual drafting time by roughly 80%. I also deliver scalable, multi-tenant backend architectures and robust data pipelines that make teams faster and decisions more reliable.

Technically, I combine backend engineering with GenAI: Python and FastAPI microservices, event-driven architectures with Kafka, and cloud deployment on Azure (including Azure Service Bus). I deploy and integrate OpenAI, Gemini, and open-source LLMs (via Ollama), and use LangChain with FAISS/Chroma for retrieval and context-aware responses.

I bring a user-centric lens from a digital marketing background, and I extend delivery beyond backend by shipping React/Next.js frontends using AI-assisted tools—so I can deliver full-stack product outcomes without a dedicated frontend hire.