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Built an AML and internal fraud monitoring platform for Ghanaian banks and fintechs, designed to catch financial crime in real time and automate compliance reporting.What it does:
Screens every deposit, withdrawal, transfer, and mobile money transaction in real time against 132 detection rules, firing instant alerts on suspicious activity
Detects money laundering patterns including structuring, sanctions matches, dormant account abuse, SIM swap fraud, agent abuse, and fraud rings
Manages dormant accounts (24+ months inactive, per Bank of Ghana requirement) through an automated escalation workflow, with monthly BoG compliance reports generated automatically
Auto-generates FIC-compliant Suspicious Transaction Report filings and emails them directly to Ghana's Financial Intelligence Centre — cutting a multi-hour manual compliance task down to seconds Tech: JavaScript, Node.js, Python, SQL, REST APIs, automated PDF generation
Restaurant Ordering & Kitchen Automation System
Description:
Built a full-service restaurant ordering and order-routing system, from customer order to kitchen fulfillment, replacing manual order-taking with a real-time automated workflow.
What it does:
End-to-end WhatsApp ordering workflow covering customer ordering and operational order processing
Real-time order routing from intake to kitchen fulfillment using Node.js and WebSockets, so kitchen staff see new orders instantly
Database structures and business logic for order processing, status tracking, and management
Designed for real-time operational requirements in dine-in and order processing environments
Tech: JavaScript, Node.js, WebSockets, Twilio, WhatsApp APIs, Supabase, AWS,
Title: Inventory Management System for Pharmacies & Shops
Description:
Built an inventory management system to help pharmacies and shops track and manage stock without manual spreadsheets or guesswork.
What it does:
Data structures and business logic to track and manage inventory across retail and pharmacy operations
Designed to fit real-world pharmacy and shop operations, reducing manual inventory tracking
Tech: JavaScript, Node.js, SQL, REST APIs
Title: Church Member Management Automation
Description:
Built a WhatsApp/PWA-based automation system to help churches manage member engagement without relying on manual outreach and spreadsheets.
What it does:
Automated processes for attendance tracking, giving/donations, prayer requests, and member follow-ups
Combined messaging workflows, application interfaces, and data management into a single unified system
Gives church administration a streamlined way to stay connected with members without manual coordination
Tech: JavaScript, Node.js, WhatsApp APIs, Progressive Web App (PWA), Supabase
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My recent client is an Australian printing firm.
They already had clients coming in.
The problem was what happened after the agreement.
When a client agrees to payment terms, every delay matters.
A payment process that sits waiting for someone to follow up can slow down the entire client journey. And when clients experience unnecessary delays, it can affect more than cash flow. It can affect their confidence in the business.
So I built an Agreed Payment System in Make.com designed around the client journey.
The goal wasn’t simply to automate emails.
It was to create a process that keeps agreed payments moving, keeps communication consistent, and reduces the amount of manual follow-up required from the team.
The workflow takes the agreed payment process and routes it through the appropriate steps, conditions, and Gmail communications.
The system helps keep the process moving.
And this is where my background in sales development and client retention comes into the automation work.
I don’t look at automation as:
Trigger → Action → Done.
I look at it as:
Lead → Sale → Client → Experience → Retention → Repeat business.
Because getting a client is only part of the job.
You also need systems that make it easy for that client to keep doing business with you.
Sales development + client retention + workflow automation.
That’s the intersection I build around.
The handoff after a client agrees to terms is where many service businesses leak cash flow. Automating follow-up there is a practical B2B wedge because it ties the workflow directly to revenue.
Clean and well-presented design!
I built an AI-powered n8n automation that generates personalized ice breakers for cold emails.
It takes a company’s website URL, analyzes the business, extracts key information, and uses AI to create a unique opening line for outreach.
Instead of manually researching every prospect, this workflow helps personalize cold emails at scale while saving hours of repetitive work.
Built with n8n + AI + web data extraction.
Strong use case. The quality control matters as much as the generation: I’d keep the source snippet and URL beside every ice breaker, then use a fallback when the evidence is thin instead of letting the model infer. Have you added a similarity check so repeat prospects don’t receive nearly identical openings?