Miguel Campos-romero

PhD Candidate

Spain
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Summary

👤
Senior
🎓
Top School
Miguel Campos-Romero is a PhD candidate at the University of Seville and a deep learning researcher with eight years of experience applying machine learning in research settings. Based in Spain, he progressed through BS and MS studies at Universidad de Sevilla and is now pursuing doctoral work that bridges academic rigor with applied deep learning research at TKH. Miguel combines a solid academic foundation with hands-on experimentation, prioritizing reproducible research and practical model development. Though primarily research-focused, his long tenure suggests experience across project lifecycles and collaboration in multidisciplinary teams. Colleagues describe him as curious and persistent—traits that drive both his academic investigations and contributions to emerging ML solutions.
code8 years of coding experience
bookUniversity of Seville
languagesEnglish, Spanish
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Github Skills (111)

python10
anomaly-detection10
deep-learning10
gpu10
clustering10
efficientnet10
imagenet10
optimizer10
numpy10
libtorch10
scene-text10
lstm10
jetson-xavier10
resnet10
neural-network10

Programming languages (9)

TypeScriptC++ShellCJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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wuzujiong/FastFlow-AD

Mar 2022 - Mar 2022

Unoficial FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows
Contributions:22 commits in 6 days
anomaly-detectionfastflowlocalization
mjack3/tfg_en_proceso

Feb 2019 - Apr 2019

Contributions:14 pushes, 1 branch in 1 month
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