I am an incoming Computer Science Master's student at UC3M and researcher with a strong focus on AI safety, cybersecurity, and applied machine learning.
- 馃敪 Focus Areas: AI safety (interpretability, alignment, fairness, privacy, and bias).
- 馃尡 Continuous Learning: Completed the ARENA curriculum to build robust technical foundations in AI safety.
- 馃捈 Experience: Applied AI research and double master's academic track.
My work primarily bridges machine learning and cybersecurity, especially within edge computing and industrial networks.
- Industrial IoT Security: Engineered a privacy-preserving federated binary classifier for network intrusion detection.
- Edge ML: Tuned and optimized intrusion detection models to achieve high throughput on commodity hardware, such as the Raspberry Pi 4.
馃寪 Check out my website: About | 脕. Arr贸spide