Software developer with a background in Computational Physics. I apply scientific rigor to build robust, efficient, and scalable software.
I started solving differential equations and simulating N-body systems in Fortran. That training — breaking complex problems into precise, testable algorithms — is how I approach software development today.
I'm currently completing a degree in Multiplatform Application Development (DAM), where I combine my analytical foundation with modern engineering practices: backend systems, database design, containerization, and AI agent integration.
After discovering my passion for programming while studying Physics and pivoting my career, I've just finished my first year of DAM. To push myself this summer and step out of my comfort zone, I built my first personal portfolio putting everything I'd learned (HTML, CSS, and JS) into practice and challenging myself to use the Astro framework for the first time.
Throughout this process I relied on AI as a tutor to help absorb new concepts or overcome a wall. I'm aware that my code is far from perfect and that I still have a long way to go, but I'm genuinely proud of the effort and the current result. My goal is for this project to grow with me, so any feedback or technical advice from the community will be greatly appreciated. You can see the project's documentation system in the following places:
📋 Session logs and detailed records — Every session is logged in
docs/bitacora.md(executive summary) anddocs/logs/(full record: what I asked, why it was done that way, which files changed, and the build result). TheYYYY-MM-DD.md → Session N → Prompt/Plan/Changes/Buildstructure exists because I needed traceability: to look back and understand why a line of code is there.🔍 Documented code decisions — The 18 most critical architectural decisions are in
code-decisions.md: what was decided, which bug it fixes, and what would happen if reverted. They're not passing notes — they're the reason each part of the system exists.🐛 Bug tracking and automated tests — Every bug is detected, documented in
bugs.mdwith severity and status, fixed, and verified. A suite of 74 automated checks catches CSS inconsistencies, security gaps, and data issues before they reach production.
Every session, the AI proposes and I decide. The result is a project where I can justify every line of code.
Languages
Frameworks
Tools
Windows maintenance and security suite. Deep process analysis, network connections, persistence detection, VirusTotal signature verification, and system repair with DISM/SFC.
Tool to automate and simplify Docker environment creation, enabling fast and standardized deployments.
Fortran 90 repository: Runge-Kutta 4, Verlet integration, Monte Carlo methods (Metropolis), N-body dynamics, Ising model, Schrödinger equation. Scientific reports in LaTeX.
- 💻 Multiplatform Application Development (DAM) — UNIR (In progress)
- ⚛️ Bachelor's Degree in Physics (Partial cycle) — University of Granada
13 professional certificates including Python, Docker, DevOps, Git, Java, Spring Boot, Rust, and AI Agents development. → View all in portfolio
