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Tuesday me is deep in n8n
Wednesday me is translating that into what it means for bookings, risk, and staff time
Rare combo on purpose
Most teams split that into two people who barely share a vocabulary
I refuse to be half of a broken telephone
Where does your org lose translation between build and go-to-market?
#GTM #Engineering
I am an AI automation engineer who works like a technical partner, I build the workflows, sit on the partner side of the table with you, and own enough of the GTM motion that the system actually gets used.
Most engineers cannot sell. Most marketers cannot build. I do both on...
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Created an n8n-powered OCR automation that solves the critical gap in manual payment systems — where users pay via bank transfer and upload a screenshot as proof. The system automatically extracts payment data, verifies the transaction, updates the database, and activates the user's subscription without any manual admin intervention.
Here you can Read the Whole Case Study: https://contra.com/p/oXq2Weeo-ocr-automation-for-payment-processing
Designed a modern AI automation SaaS website focused on simplifying complex workflows through clean UI, structured layouts, and conversion-focused product design.
Built with scalability, usability, and modern SaaS aesthetics in mind.
Exceptional attention to detail. The professionalism and strategic thinking behind this project are immediately obvious.
AI-Powered Email Processing & Business Data Extraction (n8n)
Built an automated workflow system using n8n to handle intelligent email processing, retailer data enrichment, and decision-based automation for business operations.
The system runs on a scheduled trigger (every 30 minutes) and processes customer data in a fully automated pipeline. When a user logs in, their data is stored with a pending status. The workflow then retrieves these records, analyzes recent business emails, and extracts key information such as sender domain and transactional details.
Using domain-based logic, the system cross-checks retailer data from a centralized database (Google Sheets). If retailer information is incomplete, the workflow automatically performs web scraping and enrichment to fetch return policies, business details, and relevant metadata before continuing execution.
Once validated, the system parses emails, extracts structured data, triggers external APIs, and marks processed emails accordingly. It ensures idempotent processing by updating statuses and avoiding duplicate handling.
Additionally, the workflow supports continuous monitoring by scanning unread business emails for completed users and processing them in real time.
Key Highlights
Fully automated email parsing & classification system
Dynamic data enrichment from web sources
Domain-based retailer validation logic
Seamless integration with APIs, databases, and Google Sheets
Built for scalability, reliability, and minimal manual intervention
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