Mohsin Ahmed
n8n + AI Automation | Save hours with smart workflows
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I've been working on an AI Customer Support Chatbot for a fictional fashion store, FashionHub, designed to automate customer support while keeping human assistance available when needed.
🛠️ Tech stack:
n8n — Workflow automation
WhatsApp Cloud API — Customer messaging
Groq LLM — AI-powered responses
RAG + Google Docs — Knowledge-based answers
Gemini Embeddings + Vector Store — Knowledge retrieval
Airtable — Conversation and order management
Telegram — Human handoff and error alerts
✨ Key features:
✅ AI-powered customer support
✅ Retrieval-Augmented Generation (RAG)
✅ Conversation memory
✅ Order processing with customer confirmation
✅ Human handoff for complex issues
✅ Telegram notifications for support and workflow errors
✅ Webhook-based message processing
💡 My biggest takeaway: Building an AI agent is not just about connecting an LLM. It’s also about designing the workflow around it — handling data, retrieving reliable information, managing conversations, and planning for errors and human intervention.
This is a portfolio project built for hands-on learning, and I’m continuing to improve its reliability and production readiness.
I’m open to opportunities involving n8n automation, AI agents, API integrations, and workflow implementation.
If you’re building AI-powered business workflows, I’d love to connect and learn from your experience!
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Built an AI-powered Lead Qualification & Sales Automation System using n8n that automatically scores, routes, and follows up on incoming leads — eliminating manual lead triage.
Key features:
Automated data collection with validation and duplicate removal (email + record-level checks)
AI-based lead qualification using a dual-model setup (Groq + Google Gemini as fallback) for reliable classification even if one AI provider fails
Smart routing based on lead temperature — Hot, Warm, and Cold — each with a different follow-up path
Hot leads: instantly assigned to a sales person, internal manager alert sent, and CRM record auto-created
Warm leads: logged and saved for the team to follow up, with a Slack notification
Cold leads: archived to a sheet for future nurturing campaigns
Automated personalized auto-reply email sent to the lead within seconds
Built-in error handling — if AI qualification fails, the system alerts the team via Telegram instead of silently dropping the lead
The result: no lead falls through the cracks, sales reps only spend time on qualified opportunities, and response time drops from hours to seconds.
Tech stack: n8n, Groq, Google Gemini, Gmail, Slack, Telegram, Google Sheets, CRM integration.
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Built an enterprise-grade AI customer support ticket automation system using n8n and Google Gemini, designed for zero ticket loss even during API outages.
Key features:
Real-time ticket ingestion via Webhooks with automated data cleaning
Idempotency check against Airtable CRM to prevent duplicate tickets and redundant costs
AI-powered routing — Gemini classifies department, sentiment, and priority
Built-in fallback logic: if the AI API goes down or hits rate limits, the system automatically defaults to safe routing (General/Medium priority) instead of failing — the workflow never stops
Dual-data sync: tickets saved to Airtable, backed up in Google Sheets, and pushed to Slack for instant team alerts
Automated customer response loop via Gmail
The result: a fully autonomous support system that handles volume spikes, filters duplicates, self-heals during AI outages, and keeps operations running with zero manual intervention.
Tech stack: n8n, Google Gemini, Airtable, Google Sheets, Slack, Gmail, Webhooks, JavaScript.
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If your team is manually copy-pasting data between tools (or dealing with sync headaches), this kind of setup usually pays for itself within weeks. Happy to share how it could work for your specific tools — just DM me.
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