Valerio Perrone
Applied Science Manager at Amazon Web Services (AWS)
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolValerio Perrone is an Applied Science Manager at AWS in Berlin with 11 years of experience building production-grade ML tooling and platforms. He leads a cross-functional team on Amazon SageMaker focused on low-code/no-code machine learning, bringing research rigor to product-grade automation like Autopilot and automatic model tuning. His background spans hands-on ML science and engineering roles at AWS, an internship at Google DeepMind working on deep learning for protein folding, and early work on hyperparameter optimization and transfer learning. Valerio holds top honors in Mathematical Engineering and advanced study in Statistics (PhD-level training), blending strong theoretical foundations with practical systems delivery. He’s known for translating complex statistical methods into scalable, user-friendly ML experiences that lower the barrier for data scientists and developers. An understated strength is his ability to bridge research and product teams, accelerating adoption of automated ML in large organizations.
11 years of coding experience
4 years of employment as a software developer
Allievi Honors Program Diploma, Statistics and Applied Mathematics, with highest honors, Allievi Honors Program Diploma, Statistics and Applied Mathematics, with highest honors at Collegio Carlo AlbertoDoctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of OxfordDoctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at University of WarwickBachelor of Science (BS), Mathematical Engineering, 110/110 with highest honors, Bachelor of Science (BS), Mathematical Engineering, 110/110 with highest honors at Politecnico di Torino
English, German, Italian
Stackoverflow
1reputation
0reached
0answers
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Github Skills (37)
pytorch10
python10
data-science10
image-classification10
incremental-learning10
meta-learning10
mxnet10
machine-learning10
time-series10
gluon10
mlp10
ensemble-learning10
forecasting10
hyperparameter-optimization10
autogluon10
Programming languages (1)
Github contributions (5)
ValerioPerrone/autogluon
Mar 2021 - Jul 2021
AutoGluon: AutoML for Text, Image, and Tabular Data
Contributions:7 pushes, 4 branches in 3 months
pytorchnlpimage-textpythondata-science
ValerioPerrone/sagemaker-scikit-learn-extension
Jun 2021 - Jun 2021
A library of additional estimators and SageMaker tools based on scikit-learn
Contributions:6 pushes, 1 branch in 14 days
sagemakerpythonmachine-learningadditionalscikit-learn
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