Paolo Notaro
Machine Learning Engineer at IABG
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolPaolo Notaro is a Machine Learning Engineer and PhD in AIOps from TUM with nine years of experience building dependable ML systems for high-stakes, regulated environments. He combines hands-on expertise across the stack—Python, PyTorch, NLP, Docker/Kubernetes and distributed systems—with a research background in log-based root cause analysis, risk modeling, and LLM evaluation. At IABG he focuses on designing and assessing AI where failures, misuse, or hallucinations are unacceptable, translating prototypes into auditable, deployable solutions. His work uniquely targets not just “it works” but proving when and why models fail, with attention to robustness, privacy and security. He has industrial research experience from Huawei and applied defense and security projects at Airbus and Crashtest Security, reflecting a career that bridges academic rigor and operational reliability.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Technical University of MunichLiceo Scientifico Statale "G. Galilei", CiriéBachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Politecnico di Torino
Italian, English, German
Github Skills (11)
j2ee3
architecture2
refactoring2
exposed2
orientdb2
design-patterns2
sublime1
textmate1
ddd1
sublime-text-plugin1
sublime-text1
Programming languages (1)
Github contributions (5)
thesmith1/dl4cv_team50
Jan 2018 - Feb 2018
Contributions:77 commits in 17 days
paolo-notaro/whatsapp-language-modeling
Aug 2019 - Apr 2020
Contributions:4 pushes in 7 months
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