Patrik Holop
Associate Manager, Data Science
Brno, Southeast, Czechia
Summary
🤩
Rockstar🎓
Top SchoolPatrik Holop is an associate manager in data science with eight years of experience bridging academic research and production-grade software engineering in cybersecurity and AI. His career spans roles at Gen and Avast where he built machine-learning systems for malware detection and internal services, and he continues PhD-level research at Brno University of Technology. Comfortable in Python and C++, he combines hands-on engineering with threat research—his public GitHub includes practical Python malware showcases that reflect a deep understanding of adversary techniques rather than malicious intent. A regular CTF participant and cybersecurity enthusiast, he translates offensive insights into robust defensive models and tooling. Colleagues know him as a pragmatic researcher who ships code, mentors teams, and keeps learning at the intersection of AI and information security. Outside work he’s a student and hobby guitarist, signaling both intellectual curiosity and creative balance.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Information Technology, Doctor of Philosophy - PhD, Information Technology at Brno University of Technology
English, German, Slovak, Russian
Github Skills (14)
develop10
malware10
python10
anti-malware10
security10
networking9
socket9
socket-io9
filesystem8
file-manipulation8
fileio8
base648
cryptography7
ssh7
Programming languages (1)
Github contributions (5)
PatrikH0lop/malware_showcase
Aug 2019 - May 2020
Understand the nature of malicious software with practical examples in Python.
Role in this project:
Security Engineer
Security EngineerContributions:18 commits, 1 PR, 3 pushes in 9 months
Contributions summary:Patrik implemented several malicious software examples in Python, demonstrating a focus on understanding and showcasing malware behavior. The commits include a trojan, an SSH worm, spyware (keylogger), ransomware, adware, and a dropper, each designed to perform different malicious actions. The work involved writing the code for these types of malware and shows an understanding of how they operate, including methods for data collection, propagation, and file manipulation.
viruspythonsecuritymaliciousnature
PatrikH0lop/kaitai-ssh
Feb 2020 - May 2020
Contributions:26 commits, 1 push in 2 months
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