Cybersecurity Engineer specializing in SAP Security, SIEM content development, and AI-driven detection engineering.
I build solutions that connect SAP enterprise architectures, SOC workflows, and machine learning to enhance threat visibility and automate security operations.
- Reduced SAP audit timelines by 85% using Python automation
- Architected 200+ Python-based SAP security assessment use cases
- Developed ML pipelines to detect malicious SAP activities & file uploads
- Integrated Llama 3 LLM + Wazuh for natural-language threat hunting
- Research focus in Zero Trust, PAM, adaptive authentication
- 🧪 Python-based security assessment frameworks for SAP S/4HANA
- 🛡️ SIEM detection engineering (IBM QRadar AQL, Wazuh decoders, rules, correlation logic)
- 🤖 Machine learning models for SAP anomaly detection (Random Forest, Isolation Forest)
- 🛰️ LLM-assisted Threat Hunting (local Llama 3 + Wazuh XDR)
- 🧩 Mapping security content to NIS2, ISO 27001, MITRE ATT&CK
- ⚙️ PAM–SIEM integration workflows to reduce false positives & speed up IR
- 📊 Security dashboards for real-time SAP threat & compliance visibility
Languages & Data
SAP & Security / SIEM
DevOps & Tools
- 🌊 Licensed Near Coastal Captain — maritime navigation discipline applied to cybersecurity
- 🏎️ Formula 1 telemetry analytics (strategy models, real-time systems)
- 🏊 Swimming & endurance training
- 📚 Research: Zero Trust, PAM frameworks, adaptive authentication models
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