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English
$
USD
I will build an ai agent or ai chatbot that automates your business workflow
Nigam A.
About this gig
An AI agent that reads your emails, updates your systems, answers customers or generates documents. Connected to your real tools, not a toy demo.
I build GenAI agents professionally. As a Product Architect I shipped a multi-agent AI assistant inside a commercial enterprise product used by Fortune 500 companies. For freelance clients: Microsoft Graph agents (Outlook, Teams) and Azure-hosted automation.
What I can build:
- Support agent that answers from your docs (RAG) and escalates to humans
- Workflow agent: intake form -> LLM analysis -> structured record in your DB or CRM
- Microsoft 365 agent via Graph API: email triage, calendar, reporting
- Internal copilot over company data, with PII redaction
- WhatsApp, Slack, Teams or web chatbots with memory and tool use
Models: GPT, Claude, Gemini, Azure OpenAI, Bedrock, or open models via Ollama. LangChain, MCP or custom orchestration. Hosted on your Azure, AWS or GCP. You own the code and the data.
Every agent ships with guardrails, logging, evaluation and human-in-the-loop approval where it matters.
Message me with your workflow before ordering and I will scope it honestly.
Get to know Nigam A.
Nigam A.
GenAI and LLM Integration Architect for AI Agents, Dotnet, Java, Azure and AWS
- FromIndia
- Member sinceAug 2021
Languages
Hindi, English, Bengali
I build AI features that ship, not demos. Product Architect with 8+ years of enterprise engineering and 2+ years of GenAI live in a commercial product used by Fortune 500 companies: 10,000+ production LLM requests, fine-tuned models, multi-agent assistants. I integrate GPT-5, Claude and Gemini into real codebases (.NET, Java Spring Boot, Python, Angular, React) on Azure, AWS or GCP, with the hard parts handled: cost control, prompt-injection defense, evaluation. Domains: banking, fintech, e-commerce, aviation, booking, data modelling. 10+ projects delivered end to end, on time.
FAQ
Where will the agent run, and who owns it?
On your own Azure, AWS or GCP account (or your server), using your own model API keys. You own the code, the data and the keys. I can also run open models locally via Ollama if data cannot leave your network.
How do you stop the agent from doing something wrong?
Guardrails on what tools it may call, validation of every action before it runs, human approval for anything irreversible, full logging, and an evaluation suite so you can see how it behaves before it touches real customers.
What will it cost to run each month?
Usually a few dollars to a few hundred, depending on volume and model. I estimate token and hosting costs before we start, pick the cheapest model that meets your quality bar, and build in caching and spending limits.
