Naman G.

Senior Python AI Developer | LLM, RAG, LangChain & AI Agents

I’m a Senior Python AI Developer with 7+ years of experience building AI-powered products, SaaS platforms, backend systems, APIs, and full-stack applications. 🤖 My main focus is AI + Python, especially LLM applications, RAG systems, LangChain, AI Agents, Generative AI, and AI-powered automation. I work with businesses to turn AI ideas into real, usable products. Whether you already have an existing AI application that needs improvement or you want to build a new product from scratch, I can handle the development from architecture and backend development to AI integration, database/vector search, APIs, frontend integration, and deployment. 🔹 AI & LLM Development LLM Application Development RAG (Retrieval-Augmented Generation) LangChain & LlamaIndex AI Agents & Agentic Workflows OpenAI API & LLM Integrations AI Chatbots & Virtual Assistants Document AI & Knowledge Base Systems Vector Search & Semantic Search Prompt Engineering AI-powered SaaS Applications AI Automation & Workflow Integration 🧠 RAG & Knowledge-Based AI I build RAG systems that allow AI applications to work with real business data, documents, and knowledge bases. My experience includes vector databases and search technologies such as Pinecone, Qdrant, Chroma, FAISS, and PostgreSQL. I can help with document ingestion, chunking, embeddings, vector search, retrieval pipelines, prompt construction, LLM integration, response generation, and improving the overall accuracy of AI responses. 🐍 Python & Backend Development My main backend stack is Python, with strong experience in FastAPI, Django, Flask, REST APIs, PostgreSQL, MongoDB, Redis, background jobs, authentication, third-party integrations, and scalable SaaS backends. ⚛️ Full-Stack Development I also work with React, Next.js, TypeScript and JavaScript, so I can connect the AI and Python backend with a complete production-ready web application when the project requires full-stack development. ☁️ Cloud & Deployment I have experience working with AWS, Docker, APIs, cloud services, database infrastructure, and application deployment. My core technology stack: Python | FastAPI | Django | Flask | LangChain | LlamaIndex | OpenAI | RAG | AI Agents | React | Next.js | TypeScript | PostgreSQL | MongoDB | Redis | Pinecone | Qdrant | FAISS | AWS | Docker 🚀 What I can help you build AI Agents and agentic workflows LLM-powered SaaS applications RAG and document intelligence systems AI chatbots and knowledge assistants AI automation platforms AI APIs and backend systems AI integrations with existing applications Python/FastAPI/Django applications Full-stack AI products I prefer working directly with clients, understanding the actual business requirement first, and then choosing the right technical approach for the project instead of forcing a particular technology into the solution. If you already have an AI product, I can help improve, extend, or scale it. If you only have an idea, I can help define the technical approach and build the product from the ground up. 🕐 Availability: Full-time, up to 40 hours/week 💰 Rate: Open to discussing the hourly rate based on the project requirements. If you’re looking for someone who can handle both the AI/LLM side and the Python application/backend side, I’d be happy to discuss your project.