作品集
Portfolio
Personal projects and technical work
Last.fm MCP Server
Model Context Protocol (MCP) server for Last.fm integration, enabling AI assistants to access music listening data and statistics. Built to seamlessly connect Last.fm's API with modern AI tools.
Music Machine Learning Classifier
Advanced music genre classification system using CatBoost, Convolutional Neural Networks (CNNs), and ensemble methods. Achieved high accuracy in predicting music genres from audio features through sophisticated feature engineering and model ensembling.
LanceDB Vector Database Workshop
Comprehensive workshop on vector databases presented to ITAM students. Covered LanceDB fundamentals, vector embeddings, similarity search, and practical applications in modern AI systems. Included hands-on exercises and real-world use cases.
Spotify ETL Pipeline
Full-stack ETL pipeline integrating Spotify API data with MongoDB and Neo4j. Designed to extract music listening data, transform it into meaningful insights, and load it into both document and graph databases for comprehensive analysis and relationship mapping.
Domino AI with Minimax
Intelligent domino game AI implementation using the minimax algorithm with alpha-beta pruning. Creates a challenging computer opponent that makes strategic decisions by evaluating game states multiple moves ahead.
Want to see more? Check out my GitHub profile for additional projects and contributions.
GitHub