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Humdov
AI/ML

Humdov

Backend & ML Engineer

FastAPICeleryRedisML
Live Site

About the Project

Humdov is a faith-based community platform serving 3,000+ members with sermons, Bible studies, and discussion groups. I built the backend services and implemented the ML-powered content recommendation engine that personalizes each member's experience based on their engagement patterns, interests, and community activity.

Key Highlights

  • Built recommendation engine using collaborative filtering and content-based methods
  • Implemented background job processing with Celery and Redis for async ML tasks
  • Designed the API layer with FastAPI for high-performance content delivery
  • Content recommendation system increased user engagement by surfacing relevant sermons and studies
  • Platform serves 2,500+ active community members

Technical Challenges

Building a recommendation system for spiritual content required sensitivity to context that purely algorithmic approaches miss. I combined user behavior signals with content metadata (topics, scripture references, speaker) to create recommendations that felt personally relevant without being reductive.