About Me

I am a Backend Engineer specializing in Applied AI & LLM Integration. I graduated in Software Engineering from the University of Malaga with an 8.6/10.00 GPA (Top 10% of Class). My focus centers on designing high-performance backend architectures, autonomous LLM agents, local model fine-tuning, and robust distributed systems.

Engineering & Experience

During my time as an AI Engineering Intern at BHS Corrugated Spain, I engineered safe-by-design AI workflows (n8n, Python) to automate industrial incident diagnosis for corrugator machinery. Utilizing Azure-hosted LLMs, tool-calling capabilities, and APIs (Rundeck, Spring Boot Admin, Observium), the system automatically resolved 553 tickets in two months while reducing manual ticket handling by 40%.

Prior to that, as the sole backend developer at UnknownGravity (a real estate tokenization startup), I architected and launched a Web3 marketplace on Polygon listing over €2.2M in property assets using Node.js, PostgreSQL (with database semaphores and concurrency controls), Web3.js, AWS, and Docker.

My main technical stack orbits around Python (FastAPI, PyTorch, pydantic-ai), Node.js, PostgreSQL, Docker, AWS, and Apple Silicon MLX. I specialize in building system guardrails, agentic workflows, and high-efficiency models that run seamlessly within strict resource bounds.

Featured Projects & Research

  • mlx-modernbert: Apple Silicon native MLX implementation of ModernBERT encoder (Python, Apple Metal) with 50% VRAM reduction.
  • Semantic 3D Farm Reconstruction (Bachelor's Thesis - 10/10 Honor): Distributed precision agriculture platform using 3D Gaussian Splatting, SAM 2, OpenCLIP, FastAPI, Celery, and WebGL.
  • Aegis AI Agent: Autonomous browser agent using Chromium's Accessibility Tree as a perception engine with dynamic token optimization.
  • Local LLM Fine-Tuning & Coding Agent: Fine-tuned local Gemma models with QLoRA and built custom subagent-driven coding harnesses.

(Find technical write-ups and repositories in the Projects section)

Education

B.Sc. in Software Engineering — University of Malaga (Sep 2022 – Jun 2026)
Grade: 8.6 / 10.00 (Top 10% of Class)
Relevant Coursework: Computer Vision, Deep Learning, Distributed Systems, Cloud Computing, Software Architecture.