Personalized Media Platform for Enhanced User Engagement
DataCMSAWSWebb app
Personalized Media Platform for Enhanced User Engagement
DataCMSAWSWebb app
We built a powerful media personalization platform that delivers real-time curated news and video to millions. Using machine learning and advanced cloud infrastructure, the system adapts to user preferences and behavior for maximum relevance and engagement.
Industry
Media & news
Location
USA
Year
2025
Technologies:
Business Impacts
- Personalized recommendations, boosting user retention and engagement
- Scalable architecture supported millions of real-time interactions with minimal latency
- Streamlined operations reduced manual workloads and improved cost efficiency
- Advanced analytics provided critical insights for marketing and strategic planning
Technical Highlights
- Machine learning: implemented TensorFlow-based models for precise content recommendations
- Real-time data processing: built pipelines with Airflow for ingesting and processing millions of user interactions daily
- Automation: CI/CD pipelines using Docker and GitLab CI for seamless updates and feature rollouts
- Automation: CI/CD pipelines using Docker and GitLab CI for seamless updates and feature rollouts
- Performance monitoring: utilized AWS tools for infrastructure reliability and high availability
- Data visualization: integrated Apache Superset for actionable reporting and business insights
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