David Domínguez-barbero
Research Assistant at Instituto de Investigación Tecnológica
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolDavid Domínguez-barbero is a research-focused software engineer with 9 years of experience applying machine learning, deep learning, NLP, and AI techniques to power systems and healthcare projects. Based in Madrid, he develops production-ready Python tools and expert systems—recently building an anomaly-detection package for a major power company and ML asset-characterization tools for an H2020 project. His work blends strong mathematical optimization and operations-research instincts with curiosity about human behavior and linguistics, reflected in interdisciplinary reading and research output on Google Scholar. Comfortable across reinforcement learning, multi-agent systems, and meta-heuristics, he bridges academic rigor and agile, practical engineering.
9 years of coding experience
1 year of employment as a software developer
Computer Engineering Degree, Computer Engineering, Computer Engineering Degree, Computer Engineering at Universidad de Castilla-La Mancha
Github Skills (38)
heuristics9
reproducible-science9
fundamental9
genetic-algorithm9
gradient-descent9
nmf9
reproducible-research9
multi-objective-optimization9
python9
blas9
ndarray9
interpolation9
genetic9
mpi9
linear-algebra9
Programming languages (1)
Github contributions (5)
DavidDB33/drling
Apr 2020 - Aug 2021
Deep reinforcement learning algorithms for Researchers LearnING
Contributions:1 review, 87 commits, 5 PRs in 1 year 4 months
reinforcement-learning-algorithmsdrldeep-learningreinforcement-learningframework
DavidDB33/connectX
Mar 2020 - Oct 2022
Algorithms to play connectX in Kaggle
Contributions:1 review, 4 PRs, 10 pushes in 2 years 7 months
kagglepythonmachine-learningtensorflow
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