Project overview
Riyaah is a Saudi Arabia–based beauty and skincare e-commerce platform focused on fast delivery, personalized shopping experiences, and premium beauty products. The platform supports seamless online shopping across web and mobile applications while integrating AI-powered recommendations through the “Rima” assistant.
Worked on backend systems and API development using Python, Django, and DRF to support product management, customer accounts, order processing, and scalable e-commerce workflows.
Implementation details
About the Platform:
Riyaah provides customers with a modern beauty shopping experience through intelligent product discovery, personalized recommendations, and optimized order workflows. The platform combines scalable e-commerce infrastructure with AI-assisted shopping features to improve customer engagement and conversion.
The system supports large product catalogs, customer personalization, order lifecycle management, and cloud-native deployment workflows designed for reliable performance across high-traffic environments.
Key Contributions:
- Developed REST APIs for e-commerce and customer workflows
- Built backend services for AI-assisted product recommendations
- Worked on scalable microservice communication and deployment pipelines
- Developed systems for product management, customer accounts, and order workflows
- Improved platform reliability using monitoring and cloud-based infrastructure
- Contributed to AWS deployment and scalable backend architecture
- Collaborated closely with frontend and product teams to deliver customer-focused features
Tech Stack:
- Python
- Django
- Django REST Framework (DRF)
- GraphQL
- PostgreSQL
- Pandas
- Docker
- AWS
- Microservices Architecture
- REST APIs
- Cloud Deployment & Monitoring
