Jonathan Evertz
Doctoral Researcher at CISPA Helmholtz Center for Information Security
North Rhine-Westphalia, Germany
Summary
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Rockstar🎓
Top SchoolJonathan Evertz is a doctoral researcher at CISPA Helmholtz Center with eight years of experience at the intersection of machine learning, software engineering, and security. His work focuses on the security and privacy of modern ML systems, especially adversarial machine learning and vulnerabilities in large language models. He has driven hands-on research from hardware reversing of deep-learning FPGA cores to building open-source tooling for robotics and low-power embedded inference. International experience includes an exchange stint at the University of Tsukuba where he organized a multi-university workshop, reflecting both technical depth and community-building. Known for "riding down the gradients" and deliberately breaking systems to learn their failure modes, he brings a pragmatic, attack-first mindset to building more robust ML systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Ruhr University Bochum
Stackoverflow
1reputation
0reached
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Github Skills (48)
prompt-injection10
langchain9
chatgpt9
llm9
python9
security9
prompt-toolkit9
typescript9
robustness9
adversarial-learning9
generative-ai9
ai9
gemini9
openai9
anthropic9
Programming languages (3)
Github contributions (5)
LostOxygen/LostOxygen
Jul 2020 - Apr 2024
Contributions:34 pushes, 1 branch in 3 years 9 months
LostOxygen/bioinf_kernel_eval
Apr 2023 - Aug 2023
Performance Evaluation between Normal and Depthwise Seperable Convolutions for Medical Image Classification.
Contributions:3 PRs, 123 pushes, 6 branches in 4 months
image-classificationbioinformaticsbiological-data-analysisbiologyconvolutional-neural-network
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