Curriculum Vitae

Mechanistic interpretability; AI alignment and model evaluation; privacy-preserving machine learning; adversarial robustness and red-teaming; security of multi-agent and autonomous systems.

Seeking a research internship in AI safety: interpretability, alignment, and privacy-preserving ML. My background is applied ML for cybersecurity: intrusion detection for industrial IoT under distribution shift and hard privacy constraints. I want to pivot from defending systems with models to understanding what the models do internally and how to safeguard them.

Education

Double MSc in Computer Science & Cybersecurity

Sep 2026 – Jun 2028

Universidad Carlos III de Madrid (UC3M) — Madrid, Spain

Incoming master's student. Requesting transfer to the Computer Science & AI track.

Bilingual BSc in Computer Engineering (IT) — 240 ECTS

Sep 2022 – Jun 2026

EPI Gijón — University of Oviedo — Asturias, Spain

GPA: 8.5/10.
Bachelor's Thesis: ML-based NIDS for Industrial IoT, graded 10/10. Keywords: privacy-preserving ML, federated learning, anomaly detection.

Additional Training & Coursework

Johns Hopkins University — Online Apr 2026 – Present

AI for Cybersecurity

Stanford School of Engineering — Online Feb 2026 – Present

Advanced Cybersecurity Program

Lady Margaret Hall — University of Oxford — Oxford, UK Jul 2026

Generative AI and Deep Unsupervised Learning, 7.5 ECTS (Grade: A+)

INCIBE Chair — University of Oviedo — Asturias, Spain Oct 2025 – Apr 2026

Grad. Cert. in Offensive Cybersecurity, 16 ECTS (GPA 9.7/10)

Lady Margaret Hall — University of Oxford — Oxford, UK Aug 2025

AI and Machine Learning: Theory and Practice, 7.5 ECTS (Grade: A+)

Experience

Funded Undergraduate Research Fellow / Bachelor's Thesis

Nov 2025 – Jul 2026

ICOM Research Group — University of Oviedo — Asturias, Spain

Designed a federated binary classifier for IIoT intrusion detection evaluating sliding-window traffic statistics that trains at the edge. The system achieved 98.6% precision and 95.0% recall on a Raspberry Pi 4 (8GB) while sustaining a throughput of 3M packets/s, proving high-speed, privacy-preserving detection is viable on commodity hardware.

IT Department Intern

May 2024 – Oct 2024

Castroalonso — Asturias, Spain

Built an NLP pipeline (Python, spaCy) that ingested and classified the official Spanish public-tender bulletin, replacing manual screening with automated relevance filtering over a live document stream.

Skills

ML & Deep Learning: PyTorch, Scikit-Learn, NumPy, Pandas

Programming Languages: Python, C/C++, Java, SQL, Bash

Security & Red-Teaming: Nmap, Wireshark, Metasploit, Burp Suite, Autopsy

Systems & DevOps: Linux, Docker, Git, GitHub, Proxmox

Governance & Standards: IEC 62443 (OT), NIS2, ISO 27000, ENS (Spain)

Certifications

Hack The Box CPTS (in progress)
Cisco CCST Cybersecurity
NIS2 Regulatory Compliance (INCIBE)
Cybersecurity in Logistics & Transport (Spanish Min. of Transport)

Awards & Grants

Best Prediction Award — Merkle Dathlon 2026.
Collaboration Grant 2025 — Spanish Ministry of Education, awarded to early-career researchers.
José Riera Award 2025 — Best academic record in the Computer Engineering (IT) cohort.
Masaveu Peterson Foundation Scholarship — Academic excellence (2024–2026).
Best Technical Solution Award — Merkle Dathlon 2025.