📄 Curriculum Vitae

M.Sc. Computer Science student at TU Berlin specializing in software security, AI-driven fuzzing, and system design.

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Full academic background, publications, skills, and project experience

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🎓 Education

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M.Sc. Computer Science

Institution: Technische Universität Berlin
Status: Currently pursuing
Specialization: Software Security, Machine Learning, System Design

Focusing on the intersection of artificial intelligence and cybersecurity, with particular emphasis on automated vulnerability discovery, fuzzing technologies, and secure system design principles.

Software Security Machine Learning System Design

🔬 Research Experience

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Research Paper (Under Review)

Focus: AI-driven security testing and transformer-based fuzzing frameworks
Status: Peer review process ongoing

Contributing to cutting-edge research in the application of generative models to security testing, exploring novel approaches to automated vulnerability discovery.

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Bachelor's Thesis

Institution: TU Berlin
Completion: October 2024
Topic: Generative models in security testing and transformer-based fuzzing frameworks

Investigated the application of modern machine learning techniques to automated security testing, with emphasis on transformer architectures for enhanced fuzzing effectiveness.

💻 Technical Skills

Programming Languages

C/C++ Rust Python Java Shell/Bash

Security & Research

Vulnerability Research Fuzzing Container Security Penetration Testing IDS/IPS CVE Analysis

AI & Machine Learning

Transformers PyTorch TensorFlow Neural Networks NLP

Modeling & Design

UML BPMN

Infrastructure & Tools

Docker Kubernetes Linux Git CI/CD Suricata Camunda

🚀 Key Projects

CVE-2019-5736 PoC

Container breakout exploit demonstrating critical runc vulnerability

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IDS Lab Framework

Modular Docker-based intrusion detection laboratory environment

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📞 Contact Information

Email

christoph.huy@campus.tu-berlin.de

GitHub

github.com/Perimora

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