Antonio Gutiérrez
Visiting Researcher at The University of Waikato
Malaga, Andalusia, Spain
Summary
👤
Senior🎓
Top SchoolAntonio 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
Doctorado en Tecnologías Informáticas, Doctorado en Tecnologías Informáticas at Universidad de MálagaMáster en Big Data & Business Analytics, Máster en Big Data & Business Analytics at EOI Business School
Spanish, English, French
Stackoverflow
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Github Skills (15)
algorithm10
javas10
algorithms10
software-design10
metaheuristics10
computer-engineering10
optimisation10
optimizers10
python10
multi-objective-optimization10
optimization10
java10
data-structure9
data-structures9
unit-testing9
Programming languages (4)
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
Back-end DeveloperContributions:1170 commits, 176 PRs, 1537 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.
optimizationmultiobjective-optimizationmulti-objective-optimizationmetaheuristicsjava
jMetal/jMetalPy
Jan 2017 - Dec 2022
A framework for single/multi-objective optimization with metaheuristics
Role in this project:Back-end Developer
Back-end DeveloperContributions: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.
pythonoptimizationmultiobjective-optimizationpareto-frontmulti-objective-optimization
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