I will build custom ai agents and workflows using langgraph

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zainn032
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zainn032
Muhammad Zain

About this gig

Are you tired of basic OpenAI wrappers that fail to follow business rules, hallucinate, or lose track of conversation context?


To run a business smoothly, your AI needs structure, precise control flow, and persistent memory. I will build production-grade, stateful AI applications using LangGraph and LangChain in Python.


By designing explicit state graphs with robust nodes and conditional edges, I ensure your AI follows strict business logic, auto-corrects its errors, and handles complex multi-step reasoning perfectly.


What I Can Build For You:

  • Stateful AI Agents: Systems with reliable short-term and long-term memory that maintain context across multiple interactions.
  • Self-Correcting LLM Loops: Workflows where the agent automatically validates its own code or output against your criteria and loops back to retry if it fails.
  • Structured Data Pipelines: Agents specialized in parsing, routing, and formatting raw information using explicit conditional routing edges.


My Technical Stack:

  • Core Orchestration: LangGraph, LangChain, Python


Why Choose Me?

As an AI and Data Science engineer, I focus on building reliable, deterministic workflows that don't break in production.

Get to know Muhammad Zain

Muhammad Zain

Data Scientist, AI Solutions Engineer, Agentic AI Specialist

  • FromPakistan
  • Member sinceJun 2024
  • Avg. response time1 hour
  • Languages

    Urdu, English
Hi, I'm a Data Scientist and Machine Learning Engineer specializing in building predictive models, end-to-end data pipelines, and intelligent AI automation. I focus on turning complex datasets into clean, deployment-ready production code. 𝐌𝐲 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: Data cleaning, preprocessing, and predictive modeling using Python. 𝐀𝐈 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Building reliable, stateful workflows and custom logic loops using LangGraph and LangChain. 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Turning backend scripts into interactive Python web applications via Streamlit, flask

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