Nilton Cesar Rojas Vales
Bachelor Computer Science @ University National of Engineering, Perú
nrojasv@uni.pe
About
I am a Peruvian computer scientist with strong foundations in software engineering and applied machine learning.
I graduated first in my class from the National University of Engineering in Lima, where I earned my B.Sc. in Computer Science.
I currently work as a Machine Learning Engineer at LATAM Airlines, where I study recent computer vision literature and translate open-ended visual problems into models, experiments, and practical systems.
My background and current interests are centered on computer vision, especially robustness and generalization. I am also interested in machine learning applied to audio and its connections with multimodal AI.
I have been fortunate to be advised by Nils Murrugarra-Llerena and Helder Rojas, whose mentorship has guided my early research direction.
News
Education
National University of Engineering2025 - 2026 (Expected)
Professional Title in Computer Science (as part of the undergraduate program)
Faculty of Science — Lima, Peru
National University of Engineering2014 - 2021
B.Sc. in Computer Science
Faculty of Science — Lima, Peru
- Thesis on Recurrent Neural Networks applied to Lima Stock Exchange data.
- Presented thesis to support ABET accreditation.
- Ranked 1st in graduating class.
Publications
2025
Statistical Hypothesis Testing for Information Value (IV)
Rojas, H., Alvarez, C., & Rojas, N.
Journal of Statistical Theory and Applications (Accepted, Oct 2025)
A Simple Algorithm for Output Range Analysis for Deep Neural Networks
Rojas, H., Rojas, N., Espinoza, J. B., & Huamanchumo, L.
Cybernetics and Physics, 14(2), 162-173, 2025
2024
Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World
Rojas, N.
Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23755–23756
2022
Development of an Algorithm Based on Deep Learning for the Classification of Oceanic Geophysical Phenomena
Taipe, L., Rojas, N., et al.
Proceedings of the International Astronautical Congress (IAC), 2022
Methodology Based on Machine Learning and Deep Learning to Predict Dengue Transmissions
Sosa, S., Rojas, N., et al.
Proceedings of the International Astronautical Congress (IAC), 2022
(* indicates equal contribution)
Projects
Co-organizer — Initiative helping Peruvian undergraduate students access international AI research opportunities.
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Software Developer for the GUI of a biology experiment selected by the United Nations to fly aboard the Chinese Space Station. Developed in Python with real-time monitoring and fault-tolerance.
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Vitæ
Full Resume in PDF.
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Technical University of Munich (TUM) Aug, 2025M.Sc. in Informatics
Admitted to the Master's program in Informatics at the Technical University of Munich (Admission for 2026-2028) -
Institut Polytechnique de Paris Jun. 2025Master's in Data and Artificial Intelligence
Admitted to the M1 program in Computer Science, specialization in Data and AI (Admission for 2025-2027) -
AAAI Conference on Artificial Intelligence Feb. 2024Undergraduate Consortium Scholar
Selected participant at the AAAI-24 Undergraduate Consortium for research in Artificial Intelligence -
Google Latam Research Program Jan. 2024 - Jul. 2024Selected Participant
Exploration program organized by Google Research and the Latin American Research Program to support underrepresented students in AI and Computer Science -
Wisy Platforms, Inc. Sep. 2020 - Dec. 2020Artificial Intelligence Intern
First internship in California. Developed object detection models for supermarket grocery localization and received training from Google developers. -
National University of Engineering 2014 - 2021B.Sc. in Computer Science
Thesis on Recurrent Neural Networks applied to Lima-Peru Stock Exchange data — Ranked 1st in graduating class