Dual-profile engineer combining rigorous academic training in Cybersecurity & Artificial Intelligence (UMA) with high-performance systems programming skills from 42 Málaga.
My focus is on the intersection of Deep Learning, Vulnerability Research, and Secure Architecture. I don't just use tools—I build them from scratch (C/Unix) and enhance them with AI.
| Currently working on | Advanced Deep Learning models for financial prediction & Software Development |
| Experience | Tech Mentor at Google.org Cyber Bootcamp (Trained 100+ students) |
| Education | University of Málaga & 42 Málaga |
| Soft Skills | Technical Leadership, Mentorship, Communication |
| Project | Description | Tech Stack |
|---|---|---|
| Financial Predictive Transformer | Hybrid Deep Learning model (Transformer + Static Context) to apply Value Investing. Built ETL pipeline for 10 years of financial data. | PyTorch Pandas ETL Deep Learning |
| Minishell | Custom Linux shell re-engineered from scratch in C. Handles process creation, signal handling, pipes, redirections, tokenization and manual memory management. | C Unix Bash Systems Programming |
| MNDefender | SAST Vulnerability Analysis System integrating NIST NVD API for real-time CVE detection. | Python Flask Docker SQL NIST API |
| Gymeatai (in progress) | AI Health APP leveraging AI for personalized fitness and nutrition plans based on user health data. | AI Mobile Dev UI/UX |
| Languages |
|
| AI & Data Science |
|
| Security & DevOps |
|
Málaga, Spain · Open to Summer 2026 Internships