Intelligent Payment Orchestration Engine
‍We built a platform automating multi-party transactions with:
• Rule-Based Workflows:    
◦ Drag-and-drop UI let franchise managers create splits without coding.    
◦ Audit trails ensured compliance with regional tax laws.
• Real-Time Settlement:    
◦ Microservices (Node.js) processed payments.    
◦ Serverless AWS Lambda handled peak loads (Black Friday/Cyber Monday etc).
• Automated reconciliation reduced.

• Frontend: React.js, Redux
• Backend: Python (Django), PostgreSQL
• Cloud: AWS EC2, S3, CloudFormation
• DevOps: Jenkins, Terraform

1. Strategy & Discovery:
• Audited franchise payment workflows.    
• Mapped split-payment rules flows.    
• Conducted stakeholder interviews to prioritize pain points.

2. Design & Prototyping: 
• Built a drag-and-drop UI for non-technical users to create custom split rules.    
• Conducted usability tests with franchise managers to refine workflows.    
• Created real-time dashboards for transaction tracking.

3. Development & Testing:   
• Developed microservices for payment processing (Node.js) and rule validation (Python).    
• Implemented AWS Lambda for serverless split calculations.    
• Ran tests simulating on concurrent users.

4. Deployment & Monitoring:
• Phased rollout to pilot franchises.    
• Monitored AWS CloudWatch for performance bottlenecks.    
• Provided post-launch training and SLA-backed support.

• Reduced transaction processing time.
• Handled 5M+ transactions/day.

• Enabled franchise expansion into whole Brazil into all industries.
• CFOs gained real-time visibility into cash flow.
• Reduced audit prep time.
• Scalable to integrate with any third-party financial tech partner.