🎓 MSc Applied Cybersecurity (Erasmus Mundus, EU-funded)
🔬 Focus: AI/ML for/in cybersecurity, cybersecurity, and high-performance systems
🏎️ Passion: Applying machine learning to real-time telemetry and data engineering.
- Languages & Tools: Python, Typescript, JavaScript (React/Node/NextJS), Bash, MongoDB
- AI/ML: Time-series anomaly detection, TensorFlow, Scikit-learn, Pandas
- Cybersecurity: VPNs, secure access, intrusion detection, Wireshark, Burp Suite
- Telemetry Anomaly Detection – ML applied to sensor-style data, inspired by motorsport telemetry
- SAX-LSTM Anomaly Detection – Lightweight SAX-LSTM approach for IoT Network Intrusion Detection
💡 I’m especially excited about opportunities where data, security, and performance-critical systems intersect.