You will get I Will Build a Production-Ready ML Pipeline in Python
Project details
I build AI-powered automations that go beyond simple if/then triggers. My workflows use GPT and Claude to analyze data, make decisions, and generate content automatically.
What makes me different:
→ I combine AI with automation. Most freelancers build basic workflows. I build systems where AI scores leads, drafts emails, classifies documents, and handles edge cases — all within the workflow.
→ I work with Python, n8n, and Make.com. I pick the best tool for your use case, not force one tool for everything.
→ Everything includes error handling, retry logic, and monitoring. Your automations don't silently break.
What I automate:
• Lead generation and AI-powered scoring
• Email outreach personalized by AI
• Document processing and data extraction
• CRM updates and data entry
• Report generation from multiple sources
Recent project: Built a RAG system using n8n that lets AI answer questions using company-specific documents. Also built a 5-tool MCP server automating an entire sales research pipeline.
GitHub: github.com/muaazsiddique
What makes me different:
→ I combine AI with automation. Most freelancers build basic workflows. I build systems where AI scores leads, drafts emails, classifies documents, and handles edge cases — all within the workflow.
→ I work with Python, n8n, and Make.com. I pick the best tool for your use case, not force one tool for everything.
→ Everything includes error handling, retry logic, and monitoring. Your automations don't silently break.
What I automate:
• Lead generation and AI-powered scoring
• Email outreach personalized by AI
• Document processing and data extraction
• CRM updates and data entry
• Report generation from multiple sources
Recent project: Built a RAG system using n8n that lets AI answer questions using company-specific documents. Also built a 5-tool MCP server automating an entire sales research pipeline.
GitHub: github.com/muaazsiddique
Machine Learning Tools
Azure Machine Learning, ChatGPT, GitHub Copilot, Google Sheets, GPT-3, Keras, Kubeflow, MATLAB, Microsoft Excel, MLflow, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, scikit-learn, SQL, TensorFlow, Vertex AI, XGBoostWhat's included
| Service Tiers |
Starter
$500
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 0 | 1 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Extra Integration
+$200About Muaaz
Make. com & n8n Automation Expert | AI Agents, RAG, MCP
Lahore, Pakistan - 11:47 pm local time
Recent shipped projects with measurable results:
- AI Customer Support System: 95% faster response time, 24/7 availability
- AI Invoice Processing: 95% faster, 90% cost reduction, 80% fewer errors
- AI Lead Generation Agent: full SDR pipeline, research to outreach to reply handling
- Custom MCP Server: connects Claude to 5 business tools in one prompt
- Multi-Channel AI Support: one brain answering email, web chat and WhatsApp with RAG
What I can build for you:
- AI agents that handle real workflows, not just chat
- RAG chatbots that answer from your private docs
- Email triage and auto-reply systems wired into your CRM
- Custom MCP servers giving Claude access to your business tools
- Make and n8n workflows wired into HubSpot, Notion, Airtable, Slack
Stack: Make, n8n, Python, Claude, GPT-4o, LangChain, Pinecone, Gmail, WhatsApp, Slack, Airtable, Notion
I am new to Upwork but not new to building. 11 production projects in my portfolio, each documented with architecture, stack, and outcome.
How I work:
1. Free 20-min call to understand your workflow
2. Written scope and price within 24 hours
3. 50 percent upfront for fixed-price builds
4. Loom updates as I build
5. Handoff with documentation
If you have a we-should-automate-this list sitting in a doc somewhere, message me. I will tell you honestly if I am the right fit.
Steps for completing your project
After purchasing the project, send requirements so Muaaz can start the project.
Delivery time starts when Muaaz receives requirements from you.
Muaaz works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery call to map your current workflow
Design automation flow with AI integration points