Philipp Normann
Project Assistant (PhD Researcher) AI For Cybersecurity at Technische Universität Wien
Vienna, Austria
Summary
🤩
Rockstar🎓
Top SchoolPhilipp Normann is a PhD candidate at TU Wien specializing in applying robust and explainable AI to cybersecurity, building on nine years of industry experience in data science and security. Previously at OTTO he led real-time recommendation and fraud-detection initiatives, shipping Transformer-based session recommendations (+10% CTR) and a multimodal cold-start system (+200% CTR), and helped publish OTTO's first peer-reviewed ML work. His background blends hands-on ML engineering—productionizing deep models, AWS GPU training, and continuous delivery—with security practice from earlier IT-security roles. Now contributing to the WWTF-funded BREADS project, he focuses on defenses that are both performant and interpretable, bringing rare cross-domain expertise that links production recommender engineering with adversarial-aware AI for cyber defense.
9 years of coding experience
7 years of employment as a software developer
Vienna University of TechnologyMaster of Science - MS IT-Security, Master of Science - MS IT-Security at Fachhochschule Wedel
German, English, Romanian
Stackoverflow
21reputation
179reached
0answers
1question
Github Skills (96)
displays10
python10
multi-objective-optimization10
deep-learning10
backlight10
brightness10
otto10
webapp10
neural-network10
xrandr10
alerts10
nvidia10
tensorflow10
it-security10
machine-learning10
Programming languages (8)
Github contributions (5)
philippnormann/nvidia-sniper
Sep 2020 - Jul 2021
🎯 Autonomously buy Nvidia Founders Edition GPUs as soon as they become available.
Contributions:152 commits, 35 PRs, 161 pushes in 9 months
nvidiagpugpusfoundersbuy
philippnormann/xrandr-brightness-script
Feb 2017 - Mar 2020
🔆 Script for adjusting the brightness and color temperature of displays on a software level using xrandr.
Contributions:14 commits, 4 PRs, 20 pushes in 3 years 1 month
backlightxrandrcolor-temperaturedisplayslinux
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