Raza Naqvi
AI Automation, AI Agent Developer & Mobile App developer
Ready for work
Raza is ready for their next project!
NORTHLINE Premium Logistics & Energy Website
NORTHLINE is an ongoing web development project for an LPG and energy logistics company.
I’m currently designing and developing a premium digital experience that combines modern corporate branding with interactive motion and visual storytelling.
The website is being built around:
• Scroll-driven GSAP animations
• Interactive transport and fleet storytelling
• Premium dark technical UI
• Interactive Pakistan national network visualization
• Responsive Next.js architecture
• Modern typography and micro-interactions
• SVG and Canvas-based visual effects
• Responsive desktop and mobile layouts
The goal is to create something that feels more like a premium technology and logistics experience rather than a traditional corporate website.
The homepage is being developed as a long-form scrolling experience where different sections are connected through animation and storytelling.
The project is currently in development, with the animation system, interactive map, footer, navigation, and visual design being actively refined.
Tech Stack:
Next.js
React
TypeScript
GSAP
Tailwind CSS
SVG
Canvas
Lucide React
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vWhy do you need an Automation Expert when AI can build It?
AI can generate workflows, write code, create SQL queries, connect APIs, and even build complete automation flows.But building an automation is not the same as building a reliable system.
AI can help create individual pieces, but someone still needs to understand how the entire system should work together what happens when data is missing, how different services communicate, where information is stored, how business rules are enforced, how errors are handled, and how the system can scale without becoming difficult to maintain.
That is where automation architecture becomes important. Why architecture matters. Before building the workflow, I designed the system around the actual business process.
The architecture defines:
- Where customer inquiries enter the system
- How messy customer messages are normalized
- How AI understands customer intent
- How real property data is retrieved from the database
- How similar properties are matched even when customers use different wording or Roman Urdu
- How qualification decisions are made
- How availability is checked
- How appointments are scheduled automatically
- How customers receive replies
- When a human should be involved
- How every interaction is stored and tracked
- How follow-ups happen when customers don't respond
The goal is not simply to make an n8n workflow that works. The goal is to build a complete automated leasing system where every component has a defined responsibility.
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What if an email could trigger an entire business process automatically?
I recently built an AI-powered Change Request & Approval Automation System using n8n, Supabase, Gmail and AI.
A request comes in through email.
The system can then:
→ understand the request with AI
→ identify the related project/customer
→ verify the sender
→ compare the request with existing scope/data
→ detect conflicts or missing information
→ calculate/use available pricing
→ request external pricing when needed
→ create structured records
→ route approvals
→ send notifications
→ maintain a complete audit trail
→ prevent duplicate processing
The interesting part is that this isn't just a chatbot.
It combines AI + deterministic workflows + database logic + human approval to automate a process from start to finish.
I initially built it around construction change orders, but the same architecture can be adapted for many businesses dealing with:
customer requests, quotations, approvals, service changes, orders, internal operations, and email-based workflows.
Built with: n8n • Supabase • PostgreSQL • Gmail • AI
I'm especially interested in building similar AI automation systems for businesses that still rely heavily on emails and manual operations.
If your team has a repetitive process that starts with an email and ends with manual work, there’s probably a way to automate it.
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Currently building a website monitoring SaaS
I started with a simple n8n workflow that could detect whether a website was up or down. Now I'm turning it into a full monitoring platform for uptime, performance, APIs, DNS, SSL, domains, content, security and infrastructure.
The goal isn't to build just another uptime checker. I'm focusing on making the experience simpler, more actionable and more flexible than the typical monitoring setup with one dashboard for different monitoring types, clear incident tracking, response time graphs, configurable checks and multi-channel alerts.
I'm building the backend and automation with n8n + Supabase + JavaScript, while designing the dashboard around real monitoring data and incidents.
It's still a work in progress, but I'm gradually moving it from:
Check → UP/DOWN → Alert
towards:
Monitor → Detect → Analyze → Incident → Alert → Report
Sharing the progress as I build it.
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