all work
CRM Marketing Automation Platform
A Flask-based CRM automation platform designed around separation of concerns, maintainable application services, structured data access, and evolving marketing workflows.
Python
application foundation
Flask
backend framework
Layered
architecture pattern
CRM
business domain
The problem
CRM automation becomes difficult to maintain when business rules, application logic, and data access become tightly coupled. A structured application architecture makes workflow changes easier to implement as marketing requirements evolve.
//What I built
- Flask-based CRM marketing automation application.
- Separated authentication, models, repositories, and service layers.
- Campaign management and customer segmentation workflows.
- Marketing automation logic organized as application services.
- Analytics-oriented application structure.
- Architecture prepared for future production database integration.
//Architecture highlights
- Python and Flask provide the backend application foundation.
- Repository and service layers separate data access from business logic.
- Authentication is separated from core application services.
- Marketing workflows are treated as structured application processes rather than isolated automation rules.
//The AI layer
- AI is not a core feature of this project. The primary engineering focus is Python backend architecture, CRM workflows, and automation.
//Impact
- Demonstrates structured backend engineering using Python and Flask.
- Creates a maintainable foundation for CRM-driven automation.
- Shows separation of concerns across authentication, data, repositories, and services.
PythonFlaskREST APIsCRMMarketing AutomationLayered Architecture