Niley Gonzalez

Taught Logic, Declarative Programming, and Machine Learning in the Computer Science and Data Science degrees, contributing to academic development.

Designed and developed a platform for semantic music retrieval using machine learning models and various Python libraries.

Developed a web service in Flask with PostgreSQL for Rodang Inmobiliaria, featuring a public module for user contact and an admin module for business management.

Managed and produced a commercial web page for multilingual video dubbing, focusing on AI aspects and Django web development.

Created a natural language processing system for financial information validation and advice, utilizing clustering and language models for tagging and classification.

Developed a Music Genres Classifier using novel features and achieved over 80% accuracy with state-of-the-art results.

Designed a Turing Complete Domain Specific Language named Forge Zero Finders and implemented its compiler.

Created a Music Recommender System using traditional AI modeling techniques to recommend music in an E-store.

Worked on an information retrieval system optimized with Singular Value Decomposition (SVD) using Python.

Led a team in designing and implementing a Wiki for the Monster Hunter World game using .NET framework and MySQL.

Currently pursuing a Master's degree with a focus on advanced topics in computer science and artificial intelligence.

Completed an advanced course on Large Language Models, focusing on their current state, limitations, and practical applications in various fields.

Participated in an advanced course on Meta-heuristics optimization, enhancing skills in optimization techniques applicable to various computational problems.

Completed a thesis on Semantic Music Retrieval, exploring new methodologies in the field of music classification and retrieval using machine learning.