Antonio J. Nebro

Málaga, Andalusia, Spain

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Summary

👤

Senior

Antonio Gutiérrez is an R&D engineer and doctoral candidate in Computer Technologies at the Universidad de Málaga with 14 years of hands-on experience blending cybersecurity and AI research. He specializes in verifiable, maintainable algorithms for proactive defense, malware analysis, threat intelligence and honeypot systems, and currently works at NICS Lab in collaboration with INCIBE. Antonio pairs academic rigor—masters in Computer Engineering and Big Data & Business Analytics—with practical software delivery, having contributed backend algorithm work to prominent open-source metaheuristics projects like jMetal/jMetalPy. His background spans full-stack research implementations (Django, Java, Spring) and international collaboration as a visiting researcher at Waikato, reflecting a rare mix of applied research, production deployment and cross-language tooling. Notably, he focuses on making AI-driven security models both auditable and operational, bridging the gap between research prototypes and maintainable defensive systems.

14 years of coding experience

Github Skills (15)

algorithm10

javas10

algorithms10

software-design10

metaheuristics10

computer-engineering10

python10

optimisation10

optimizers10

java10

multi-objective-optimization10

optimization10

data-structure9

data-structures9

unit-testing9

Programming languages (5)

JavaC++HTMLJupyter NotebookPython

Github contributions (5)

jMetal/jMetal

Oct 2012 - Dec 2022

jMetal: a framework for multi-objective optimization with metaheuristics

Role in this project:

Back-end Developer

Contributions:1170 commits, 177 PRs, 1581 pushes in 10 years 4 months

Contributions summary:Antonio's contributions focused on refactoring package structures and implementing algorithms within the jMetal framework. They added a new class ParticleSwarmOptimizationAlgorithm and made minor adjustments to existing code. The commits suggest the development and modification of optimization algorithms within the multi-objective context of the framework. The code changes involve the creation of algorithms and their integration within the jMetal's ecosystem.

metaheuristicsmulti-objective-optimizationmultiobjective-optimizationsoftware-frameworkjava

jMetal/jMetalPy

Jan 2017 - Dec 2022

A framework for single/multi-objective optimization with metaheuristics

Role in this project:

Back-end Developer

Contributions:1 release, 74 commits, 27 PRs in 6 years

Contributions summary:Antonio primarily contributed to the `jmetalpy` framework by implementing and refining algorithms for multi-objective optimization. They modified the core ranking and crossover/mutation operators. The changes included integrating test cases, and refactoring the code. They also worked on updating examples and fixing merge conflicts within the framework.

metaheuristicsmulti-objective-optimizationpythonmultiobjective-optimizationjmetal-framework

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