Honorio Apaza

Computer Science Master • AI Researcher • NLP Specialist

📍 Ilo, Moquegua, Perú
📧 honorio.apz@gmail.com
IEEE Senior Member AiMARA Research Group Founder AiMARA Lab Founder

My research interests lie in Artificial Intelligence, specializing in Natural Language Processing (NLP). This includes neural machine translation for low-resource languages like Aymara, text mining for recommendation systems, and the classification, summarization, and clustering of textual information across various domains, such as legal.

Master's Thesis

Neural Machine Translator for Native Language Aymara

This thesis develops and evaluates neural machine translation models for translating from Spanish to Aymara, focusing on Seq2Seq with attention and Transformer architectures. Results show that the Transformer outperforms Seq2Seq across key metrics, with higher masked accuracy (0.87 vs. 0.68), better BLEU (0.042 vs. 0.031), and improved ROUGE and METEOR scores, highlighting its superior accuracy and efficiency for low-resource languages like Aymara.

Education

Master's degree in Computer Science
2021-2023
Universidad Nacional de San Agustín, Arequipa
Master of Computer Science candidate
Systems and Computer Engineering
2017-2018
Universidad Nacional de Moquegua
Engineer degree. Winning thesis of the research project contest with financing of mining fees, royalty and mining royalties, UNAM-2016.
Bachelor in Systems and Computer Engineering
2012-2016
Universidad Nacional de Moquegua
Finished with Scholarship of the National Scholarship and Educational Credit Program (Beca 18 Perú)

Professional Experience

Professor
2023 - Present
Universidad Nacional de Moquegua, Ilo
Teaching courses: Artificial Intelligence, Design Analysis of Algorithms, Database, Programming Fundamentals, Data Structure, Thesis Seminar and Research Projects.
AI Developer (NLP)
2022
ITACA LEGAL S.A.C, Lima, Peru
Developed NLP Models for legal documents: Text classification, summarization, clustering, and text retrieval.
AI Model Developer (NLP)
2021
INDECOPI, Lima, Peru
Improvement of behavioral dictionaries and recommender models for infringing behaviors. Algorithms used: BERT, Word2vec, TF-IDF, Logistic Regression, VSM, Naive Bayes.
Professor Assistant & Researcher
2018-2022
Universidad Nacional de Moquegua, Ilo
Principal researcher of the project: "Text mining to build a data mining model for the recommendation of job offers". Winner of the thesis project research with financing of mining fees, royalty and mining royalties, UNAM-2016.

Recent Publications

Development of a Chatbot Prototype to Serve University Graduates in the Process of Obtaining Degrees and Professional Titles
Intelligent Systems and Applications, Springer Nature Switzerland (2024)
DOI: 10.1007/978-3-031-66336-9_30
NLP Models to Clarify Degree Regulations in Peruvian Universities
IEEE ANDESCON (2024)
DOI: 10.1109/ANDESCON61840.2024.10755580
Peruvian Sign Recognition (LSP) to the Native Quechua Language Using LSTM
IEEE ANDESCON (2024)
DOI: 10.1109/ANDESCON61840.2024.10755865
Neural Machine Translation for Aymara to Spanish
Intelligent Systems and Applications, Springer (2023)
DOI: 10.1007/978-3-031-16075-2_19
Neural Machine Translation for Native Language Aymara to English
Future Technologies Conference (FTC) 2022, Springer (2023)
DOI: 10.1007/978-3-031-18344-7_40
Job Recommendation Based on Curriculum Vitae Using Text Mining
Advances in Information and Communication, Springer (2021)
DOI: 10.1007/978-3-030-73100-7_72

Skills & Expertise

Research Areas

Natural Language Processing Neural Machine Translation Deep Learning Text Mining Low-resource Languages

Programming Languages

Python Java C++

AI/ML Technologies

BERT Transformers LSTM Word2Vec TF-IDF CNN

Tools & Frameworks

PyTorch TensorFlow Hugging Face scikit-learn

Languages

Aymara
Advanced (Native)
Spanish
Advanced
English
Intermediate
Portuguese
Basic