You will get automated manual operations with AI and n8n
Top Rated
Top Rated
Project details
You will get a production-ready AI automation workflow built with n8n, LLMs, and your existing business tools. I focus on building real automations that save time, reduce manual errors, and run reliably — not fragile demos. Your workflow can include AI classification, auto-replies, CRM updates, Slack alerts, report generation, API integrations, conditional logic, retry handling, and clear documentation. The final delivery is designed to be easy to maintain, test, and extend as your operations grow.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Azure Machine Learning, Google AutoML, Keras, NVIDIA AI Platform, OpenCV, PyBrain, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$350
|
Standard
$750
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 8 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | |||
Detailed Code Comments | |||
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | - | |
Source Code | |||
Taxonomy | - |
Optional add-ons
You can add these on the next page.
Extra Workflow
+$150
Slack Integration
+$100
CRM Integration
+$150
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About Muhammad
Production AI Engineer | RAG Systems, AI Agents & LLM Automation
100%
Job Success
Lahore, Pakistan - 1:32 am local time
Most teams reach out after a prototype has already failed in production, usually because of poor chunking logic, absent memory management, weak retrieval quality, or no fallback handling. I rebuild those systems correctly: clean ingestion pipelines, hybrid retrieval, structured agent memory, proper observability, and deployment that holds under real load.
What I build:
— RAG systems for internal documents, knowledge bases, and enterprise search
— AI agents with tool use, memory, and multi-step reasoning (LangChain, LlamaIndex, LangGraph)
— Automation workflows that replace manual operations (n8n + LLM + your existing APIs)
— Production chatbots for web, WhatsApp, and Slack with escalation and analytics
— Voice AI pipelines (STT + TTS) for customer-facing applications
— Fine-tuned models for domain-specific classification and generation tasks
Stack: Python · LangChain · LlamaIndex · LangGraph · OpenAI · Claude API · Pinecone · Weaviate · FastAPI · n8n · AWS · Docker
If you're ready to move from prototype to production or want it built right from the start, I can map out your system architecture in a 20-minute scoping call. No prep needed on your end.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Review workflow requirements
I’ll review your current manual process, tools, inputs, outputs, and automation goals before designing the workflow.