Research
Published academic work in natural language processing and deep learning.
Deep Learning Methods in Natural Language Processing
Presented at ICAT 2019 Conference — Quito, Ecuador, December 2019
Published in Springer Magazine “Communications in Computer and Information Science” — Quartile Q3
Research comparing deep learning approaches for NLP tasks, with emphasis on practical implementation using Python, PyTorch, and transformer architectures. The work evaluates model performance across multiple benchmark tasks and provides reproducible baselines for applied NLP research.