Ramiro Camino
Applied Scientist at Amazon
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolRamiro Camino is an Applied Scientist based in Berlin with 11 years of experience applying deep learning, generative models, and classical ML to real-world problems, currently leveraging LLMs for incident response and prevention at Amazon. He holds a PhD in Computer Science and has a strong research background in GANs for tabular data tasks such as imputation and minority oversampling, giving him a rare blend of academic rigor and production-focused engineering. Ramiro has led small development teams and shipped end-to-end systems—from Flutter mobile apps with OBD/CAN integrations to REST APIs and scalable ML services—across industry and research projects in Europe and beyond. He is comfortable across the stack and languages (Kotlin, Swift, Flutter, Python), and often bridges sensor, vehicle, and network data in multidisciplinary initiatives like MODALES and 5G-EMIT. A continual learner, he combines deep generative modeling expertise with practical experience detecting suspicious behavioral patterns in tabular data, making him effective at turning complex research into deployable solutions.
11 years of coding experience
13 years of employment as a software developer
3rd International Winter School on Big Data, Computer Science, 3rd International Winter School on Big Data, Computer Science at Università degli Studi di BariDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of LuxembourgInternational Summer School on Deep Learning 2017, Computer Science, International Summer School on Deep Learning 2017, Computer Science at University of Deusto2nd Data Science Summer Shool, Computer Science, 2nd Data Science Summer Shool, Computer Science at École PolytechniqueEscuela de Ciencias Informáticas (ECI) 2016, Computer Science, Escuela de Ciencias Informáticas (ECI) 2016, Computer Science at Universidad de Buenos Aires
Spanish, English, Italian, French
Stackoverflow
3reputation
2kreached
0answers
1question
Github Skills (29)
generative10
categorical10
generative-adversarial-network9
python9
machine-learning9
statistics9
data-analysis8
flutter-plugin8
data-science8
pytorch7
ios7
android7
scikit-learn7
deep-learning7
scikit7
Programming languages (4)
Github contributions (5)
rcamino/deep-generative-models
Mar 2020 - Jun 2020
Contributions:219 commits, 25 pushes, 1 tag in 2 months
rcamino/multi-categorical-gans
Jul 2018 - Aug 2019
Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"
Contributions:42 commits, 1 PR, 19 pushes in 1 year 1 month
pytorchdeep-learningadversarialgenerative-adversarial-networkgenerative-adversarial-networks
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