Dheeraj Chaubey

I build end-to-end AI-powered full-stack applications that turn Large Language Models (LLMs) into secure, reliable, production-grade experiences. I focus on Agentic AI, Multi-Agent Systems, and Retrieval-Augmented Generation (RAG) architectures that solve real business needs.

In my recent role, I designed and shipped AI-integrated applications using React.js, Node.js/Express, TypeScript, and GraphQL. I implemented JWT Authentication and Role-Based Access Control (RBAC), along with AI Security Guardrails, to support scalable and ethical AI deployments.

I develop AI capabilities through FastAPI-based RESTful APIs, integrating real-time webhooks and third-party services. I also deploy with Docker and CI/CD pipelines, maintaining 99.5% uptime using proactive monitoring with Sentry and New Relic, and I’ve improved API response times by 40% with Redis caching.

Beyond production work, I’ve built GenAI projects like Localee—integrating Grok AI with Google Maps/Geospatial APIs for grounded, context-aware recommendations—and an AI Multi-Agent Research System with specialized agents orchestrated in LangChain. I combine careful prompt engineering, iterative critique loops, and real-time retrieval via Tavily to produce accurate, coherent outputs in interactive Streamlit experiences.