AI/ML / Research prototype

Adaptive AI Playlist Generator

Adaptive music recommendation system that learns listener preferences over time and generates explainable playlists using embeddings and contextual signals.

This project is private because it is in active product development.

System overview

Designed a recommendation architecture that models changing music taste over time, explains suggestions, and balances novelty with preference continuity.

Validation and results

Delivered a functional explainable playlist pipeline that demonstrates practical recommendation-system design and product-oriented ML engineering.

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