Alessandro Falcetta

PHD Student at Politecnico di Milano

Mendrisio, Ticino, Switzerland
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Summary

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Senior
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Alessandro Falcetta is a PhD student and privacy-preserving machine learning engineer based in Mendrisio, Ticino, with eight years of experience bridging academic research and applied engineering. He researches privacy in AI at Politecnico di Milano while contributing commercially as an engineer at DHIRIA S.r.l., where he focuses on deploying ML systems that respect data confidentiality. His prior research work includes designing semi-automatic time-series analysis infrastructure that supports processing over homomorphically encrypted data, and he has co-advised master's theses in computer science and engineering. Recognized by several institutions for his research contributions, he combines rigorous academic training with hands-on experience in secure ML pipelines and enterprise IT migrations. Notably, he pursues practical privacy solutions that make advanced cryptographic techniques usable in real-world ML workflows.
code8 years of coding experience
bookPhD Student, Information Technology, PhD Student, Information Technology at Politecnico di Milano
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Github Skills (143)

seal10
forecast10
convolutional-neural-networks10
linear-models10
arima10
forecasting10
time-series-forecasting10
homomorphic-encryption10
pdf-viewer9
statistics9
anomaly-detection9
feature-extraction9
python9
fhe9
prophet9

Programming languages (12)

TypeScriptJavaC++CJavaScriptPHPHTMLJupyter Notebook

Github contributions (5)

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AI-Tech-Research-Lab/PyCrCNN

Sep 2019 - Jan 2023

Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption
Contributions:70 commits, 16 pushes, 1 branch in 3 years 4 months
convolutional-neural-networkshomomorphic-encryptionpyfhel
A mathematical and code introduction to the BFV Homomorphic Encryption scheme.
Contributions:12 commits, 8 PRs, 11 pushes in 1 year 2 months
homomorphic-encryption
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