Anurag S.

I’m an AI developer with $700K+ earned, 9,200+ hours, 130 completed jobs, and Top Rated Plus status on Upwork.

I build practical AI products that solve real business problems, not just demos that look good for a few minutes. My work covers AI agents, LLM chatbots, RAG systems, voice AI, OCR, document intelligence, AI search, workflow automation, and AI features inside web and mobile products.

I work with OpenAI, Claude, Gemini, LangGraph, LangChain, LlamaIndex, MCP, vector databases, and modern cloud infrastructure. But I don’t start with a model or framework. I start with your workflow, data, users, and the outcome you actually need.

What I can help you build

• AI agents that connect with your APIs, CRM, databases, internal tools, and third-party platforms using LangGraph, OpenAI Agents SDK, Claude tool use, and MCP

• RAG chatbots and knowledge assistants that answer questions from your documents, website, knowledge base, internal policies, product data, or private company information

• Voice AI agents for inbound and outbound calls using Vapi, Retell, Twilio, ElevenLabs, and custom backend workflows

• OCR and document AI for invoices, PDFs, forms, handwriting, document classification, extraction, tagging, and structured data processing

• AI features inside existing SaaS, web, or mobile products, including summarisation, classification, AI search, recommendations, content generation, image generation, and workflow automation

• Internal AI tools for teams, including custom GPTs, Claude Projects, prompt systems, evaluations, retrieval workflows, and AI-assisted business processes

A few examples of recent work

One long-term project was an AI appointment chatbot that grew into a 3,200+ hour engagement. The work went far beyond adding a chatbot. It involved building the conversation flow, connecting business logic, handling user intent, integrating backend systems, and improving the product over time based on real usage.

I also worked on an AI storybook platform where users can create personalised stories using AI. The product combined GPT-4o, Supabase, Stripe, user accounts, generated content, and a workflow that takes the user from an initial prompt through to a finished book.

Another project involved building an AI call-review system using Fathom and GPT. It analyses sales calls, scores conversations against defined criteria, identifies important moments, and helps teams review calls without manually listening to every recording.