Browse categories
Explore
Fiverr Pro
English
$
USD
I will build a custom ai agent saas application with langgraph and python
Danish Ali
About this gig
Looking to add real AI agents to your product - not a chatbot wrapper, but a system that reasons, calls tools, and gets work done autonomously?
I'm an AI engineer specializing in agentic systems built with LangGraph and Python: multi-step agent loops, tool-calling pipelines, and RAG that plug into your existing app or ship as a standalone SaaS product.
Recent work: a production agentic BI platform where a 12-tool LangGraph agent turns natural language into SQL, executes it safely, and returns explained results - backed by FastAPI, PostgreSQL, and an async backend with 75+ merged PRs and ~30 test files.
What I bring: agent architecture (LangGraph state machines, tool/function calling, multi-agent orchestration), RAG & retrieval (embeddings, pgvector, hybrid search, LLM evaluation), production backend (FastAPI, PostgreSQL, SQLAlchemy, Celery, Redis, Docker), and clean, tested code with CI - not a fragile prototype.
Whether you need one well-scoped agent or a full agent-powered SaaS backend, I'll scope it clearly, build it properly, and hand over source code you can maintain. Message me before ordering if your project doesn't map cleanly to a package.
Get to know Danish Ali
Danish Ali
AI Agents and AI Automation Systems for Business, LangGraph, n8n, RAG
- FromPakistan
- Member sinceAug 2024
- Avg. response time1 hour
Languages
Urdu, English
Hello! I'm Danish, an AI engineer who builds AI agents and AI automation systems for businesses.
I specialize in n8n workflow automation, LangChain and LangGraph agents, RAG systems that let your team query internal documents in plain English, and AI chatbots for customer intake and support.
My background is in Artificial Intelligence and Python engineering, so I build integrated, documented, production-ready systems your team can actually run, not templates.
Tell me what you want to automate and I'll scope it for you.
My Portfolio
FAQ
What's the difference between LangChain and LangGraph, and why does it matter?
LangChain is a toolkit for chaining LLM calls. LangGraph adds a stateful graph on top, so the agent can loop, branch, retry, and call tools conditionally instead of following one fixed path. That's what makes it reliable enough for production, not just a demo.
Do you need access to my LLM API keys or can I use my own?
You'll use your own API keys (OpenAI, Anthropic, etc.) so usage costs stay in your control. I integrate them securely via environment variables, never hard-coded, and I don't need standing access to your accounts.
Which package should I choose if I'm not sure yet?
Message me with a short description of what you want the agent to do. I'll tell you honestly which tier fits, or suggest a custom offer if none of the three match your scope.
