Carlos Clavero

Machine Learning Engineer at Universidad Carlos III de Madrid

Spain
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Summary

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Senior
🎓
Top School
Carlos Clavero is a Machine Learning Engineer with a decade of experience building data-driven systems across industry and academia, currently applying ML at Jungheinrich while pursuing PhD research in computer vision for logistics at Universidad Carlos III de Madrid. He has progressed from database and big data roles into production ML, with hands-on experience at Tata Steel and as a Big Data Engineer before moving into current ML engineering responsibilities. Carlos combines practical engineering—ETL, scalable data pipelines and productionization—with deep learning research, focusing on deploying vision models to solve real-world logistics problems. Based in Spain, he brings a pragmatic blend of academic rigor and industrial delivery, often bridging the gap between prototype research and operational systems. An attentive technologist, he emphasizes architectures and tools that sustain end-to-end AI workflows rather than just model development.
code10 years of coding experience
job6 years of employment as a software developer
bookCharles III University of Madrid (Universidad Carlos III de Madrid)
languagesEnglish, Spanish

Github contributions (4)

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carlosclavero/PySimplex

Jul 2016 - Feb 2017

Contributions:15 commits, 12 pushes, 4 branches in 7 months
carlosclavero/SimplexSolver

Dec 2015 - Feb 2016

Contributions:10 pushes, 1 branch in 1 month
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