Project Scope The role involves transforming the MVP into a full-scale platform ready for enterprise adoption, with strong frontend, backend, integrations, and deployment architecture. Core Objectives Restructure and optimize the existing MVP codebase. Implement scalable frontend & backend architecture. Integrate advanced fraud prevention and KYC systems. Implement Trust Scoring & Escrow functionalities. Ensure AI/ML model integration for fraud detection. Set up infrastructure for scalability, security, and reliability. Deploy to production-ready cloud infrastructure (AWS, GCP, or Azure). Technical Requirements 1. Codebase & Architecture Refactor MVP code for maintainability and scalability. Enforce modular architecture (microservices or well-structured monolith). Set up CI/CD pipelines (GitHub Actions / GitLab CI / CircleCI). 2. Frontend Redesign UI for enterprise-grade look & feel (can collaborate with UI/UX designer). Build responsive interfaces (React.js / Next.js / TailwindCSS). Implement dashboard views: Fraud Detection Dashboard Trust Score Reports Escrow & Transaction Tracking Compliance & Audit Logs 3. Backend Secure API development (Node.js / Python / Go). Database design (PostgreSQL or MongoDB). User & business onboarding workflows. Integration with third-party KYC/AML providers (e.g., Onfido, Sumsub, Trulioo). Fraud detection rules engine. AI/ML model integration (TensorFlow / PyTorch models). Escrow & payments integration (Stripe Connect, Payoneer, or equivalent). 4. Infrastructure & Hosting Deploy on AWS / GCP / Azure. Kubernetes or Docker containerization for scalability. Secure configuration with IAM, VPC, encryption, firewalls. Monitoring & logging (Datadog / Prometheus / ELK stack). 5. Security & Compliance Implement role-based access control (RBAC). GDPR & PCI-DSS compliance features. End-to-end encryption for sensitive data. Regular penetration testing & vulnerability scanning. 6. Deployment & Delivery Staging, QA, and Production environments. Automated testing (unit, integration, regression). Scalable deployment pipelines.