CV
Computer Engineer — ML for Cybersecurity
Seeking a research role in ML applied to cybersecurity, with prior experience in intrusion detection for industrial IoT under privacy and resource constraints. I'm now going deeper into AI safety and deep learning architectures, sharpening the tools I bring to that work.
Download PDFExperience
Funded Undergraduate Research Fellow
Nov 2025 – Jul 2026 ICOM Research Group — University of Oviedo — Asturias, Spain
- Designed an unsupervised anomaly detector for IIoT intrusion detection, trained only on normal traffic to catch zero-day attacks via sliding-window statistics.
- 98.6% precision and 95.0% recall.
- Inference on a Raspberry Pi 4 (8GB) achieving a throughput of 3M packets/s, proving high-speed, label-free detection is viable on commodity hardware.
- Funded by the Spanish Ministry of Education Collaboration Grant.
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.
Education
Double MSc in Computer Science & Cybersecurity — 138 ECTS
Sep 2026 – Jun 2028 Universidad Carlos III de Madrid (UC3M) — Madrid, Spain
- Incoming master's student.
Bilingual BSc in Computer Engineering (IT) — 240 ECTS
Sep 2022 – Jun 2026 EPI Gijón — University of Oviedo — Asturias, Spain
- GPA: 8.5/10 (ranked 2nd of 48).
- Bachelor's Thesis: ML-based NIDS for Industrial IoT, graded 10/10. Keywords: unsupervised anomaly detection, class imbalance, edge deployment.
Additional Training & Coursework
Johns Hopkins University — Online Apr 2026 – Present
AI for Cybersecurity
- Lecturer: Dr. Lanier Watkins.
Stanford School of Engineering — Online Feb 2026 – Present
Advanced Cybersecurity Program
- Web, network, cloud and AI security. Criptography and secure coding practices.
Lady Margaret Hall — University of Oxford — Oxford, UK Jul 2026
Generative AI and Deep Unsupervised Learning, 7.5 ECTS (Grade: A+)
- Clustering, autoencoders, VAEs, GANs, Diffusion Models, Transformers and NLP
- Lead lecturer: Prof. Naeemullah Khan, KAUST. Seminars: Marek Masiak, University of Oxford.
INCIBE Chair — University of Oviedo — Asturias, Spain Oct 2025 – Apr 2026
Grad. Cert. in Offensive Cybersecurity, 16 ECTS (GPA 9.7/10)
- Pentesting, digital forensics (Android/Linux/Windows) and Industrial Security.
Lady Margaret Hall — University of Oxford — Oxford, UK Aug 2025
AI and Machine Learning: Theory and Practice, 7.5 ECTS (Grade: A+)
- Neural Networks with Pytorch, CNNs, basics of NLP and RNNs (LTSMs and GRUs).
- Lead lecturer: Prof. Naeemullah Khan, KAUST. Seminars: Ana Deligny, University of Oxford.
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
- 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.
Volunteering
Peer Mentor
2024 – 2026 EPI Gijón, University of Oviedo
- Onboarding incoming first-year students into the Computer Engineering (IT) track.