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English
$
USD
I will build ai agents with langgraph, rag and llm API integration
Haider Akbar
About this gig
Anyone can wire a prompt to an API. I build agent systems that move real numbers: a 9 agent LangGraph pipeline I engineered cut review time 58% and LLM API costs 39% in production.
I am an AI Automation Engineer specializing in agentic systems and LLM integrations. I design agents around your workflow, ground them in your data with RAG and tune them so they are reliable and affordable to run.
What I build:
- AI agents with tool use and API integrations
- Multi-agent LangGraph pipelines with state management
- RAG systems over your documents with a vector database
- Cost optimization, guardrails and deployment
Every delivery includes a cost-per-run estimate and documentation.
Message me with your use case before ordering and I will propose the right architecture for free.
Get to know Haider Akbar
Haider Akbar
AI Automation Engineer building n8n workflows AI agents and stealth scrapers
- FromPakistan
- Member sinceApr 2024
- Last delivery10 months
Languages
English
AI Automation Engineer. I build n8n workflow automation, LLM integrations and agentic systems that replace repetitive decision-making at scale.
Production work: a brand protection platform that detected and took down 300+ counterfeiters over the open web, protecting $500K+ in client revenue, Stealth scrapers that bypass anti-bot defenses and run unattended, 50+ n8n automations running daily for real businesses.
Bring me a manual workflow and I will wire up an AI system that handles boring work.
𝐈 𝐟𝐨𝐜𝐮𝐬 𝐨𝐧 𝐭𝐡𝐞 𝐩𝐚𝐫𝐭 𝐦𝐨𝐬𝐭 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐬𝐤𝐢𝐩: getting it deployed.
My Portfolio
FAQ
Which LLM do you use and who pays for API costs?
I work with OpenAI, Anthropic Claude and open models through OpenRouter. You use your own API key so your data stays under your account and costs are transparent. I tune prompts and batching to keep runs cheap and include a cost-per-run estimate at delivery.
How do you stop the agent from hallucinating?
I ground answers in your own data with RAG so the agent quotes your sources instead of inventing, add guardrails and validation on outputs and can include a critic step that filters low-confidence responses, the same pattern that cut costs 39% on a production pipeline I built.
Can you build inside my existing codebase and deploy to my infrastructure?
Yes. I work in your repo and deploy to your cloud or server, or I can deliver a standalone service you host. Tell me your stack and I will match it.
What is the difference between a single agent and a pipeline?
A single agent handles one job with tools. A pipeline coordinates several agents with shared state for multi-step work, like research then draft then review. If you are unsure which you need, message me and I will scope it.
Do you offer support after delivery?
The Production System package includes 2 weeks of support. For longer term maintenance or iteration I offer a monthly retainer as a custom offer.
