Jorge Esteban Ramírez Sashida
August 2025

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.

MCP Last.fm API Python AI Integration
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March 2025

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.

CatBoost CNNs Ensemble Learning Python Audio Processing
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May 2024

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.

LanceDB Vector Embeddings Teaching AI/ML
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June 2024

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.

Spotify API MongoDB Neo4j ETL Python
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November 2023

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.

Minimax Algorithm Game AI Python Alpha-Beta Pruning
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Want to see more? Check out my GitHub profile for additional projects and contributions.

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