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$
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I will build production grade langgraph crewai multi agent systems
Faizan
About this gig
Basic AI chatbots are outdated. Modern enterprise growth requires autonomous AI agent swarms capable of reasoning, executing complex multi-step tasks, and self-correcting errors.
I design state-of-the-art Agentic AI ecosystems using LangGraph, CrewAI, n8n, and Python that act as fully autonomous digital employees for your company.
What I Engineer For You:
Multi-Agent Swarms: Orchestrated agent teams (Researcher, Writer, Reviewer, Executor) working in sync.
Stateful Graph Memory: LangGraph conditional edges and persistent memory for complex logic.
Custom Tool Integration: Equipping agents with custom web search, database querying, CRM, and API tools.
Human-in-the-Loop (HITL): Approval gates for financial, client-facing, or sensitive operations.
Tech Stack:
Frameworks: LangGraph, CrewAI, AutoGen, LlamaIndex
Models: Anthropic Claude 3.5 Sonnet, OpenAI GPT-4o, DeepSeek
Deployment: Docker, FastAPI, n8n Cloud / Self-Hosted
Transform your manual operations into an autonomous AI workforce. Message me today to discuss your architecture requirements!
Lets discuss your architecture requirements!
Get to know Faizan
Faizan
AI Systems Architect, Autonomous Swarms, MCP, GraphRAG, Claude, n8n
- FromPakistan
- Member sinceFeb 2024
- Avg. response time1 hour
- Last delivery2 weeks
Languages
English
As an AI Systems Architect (5+ years). I help businesses build intelligent, secure AI systems ready for daily operations.
Whether you need autonomous agents, secure GraphRAG, or complex n8n automations, I build them right the first time.
My core stack:
• Swarms: LangGraph, CrewAI
• Knowledge: Neo4j GraphRAG, Pinecone
• Backend: Python, FastAPI, n8n, MCP servers
Your data privacy is my top priority. I use local models and strict security (SOC2/GDPR) to keep your information completely safe.
Message me about your project, and let's talk.
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FAQ
Q: Why choose LangGraph over traditional Zapier or linear n8n workflows?
A: Linear automations break as soon as an edge case occurs. LangGraph enables cyclic state loops, allowing AI agents to self-verify outputs, retry failed steps, and navigate complex conditional logic autonomously without breaking your production pipeline.
Q: How do you keep my OpenAI or Anthropic API costs low?
A: I design token-efficient system prompts, implement semantic caching to prevent redundant queries, and deploy lightweight routing models for basic logic, calling expensive models like Claude 3.5 Sonnet or GPT-4o only when necessary.
Q: What if an integration or workflow breaks after project delivery?
A: Every package includes a 30-Day Guarantee. If any script, webhook, or state loop encounters unexpected bugs within 30 days of delivery, I fix it free of charge.
Q: Do I need technical knowledge to operate the system after handover?
A: No. You receive full source code, comprehensive technical documentation, and a step-by-step Loom video walking you through running and monitoring the system effortlessly.
Q: Can you deploy the AI workflow directly into my existing cloud setup?
A: Yes. I containerize workflows using Docker and deploy them directly to your preferred infrastructure (AWS, GCP, VPS, or cloud-hosted n8n/Python environments) following strict security standards.
