Pablo Díaz-Jorge

What started back in high school as a simple experiment has grown into my true vocation. Today, I focus on designing and building scalable frontend systems at the intersection of software architecture and artificial intelligence engineering, combining thoughtful design with sound engineering practices.

I am currently working as a Frontend Engineer at Infoport Valencia, where I contribute to the development of digital solutions that optimize port logistics operations. My role involves designing accessible, scalable, and user-centered interfaces with Angular and TypeScript, supported by technologies such as SCSS, RxJS, and custom component libraries. I also integrate AI-assisted development tools into the workflow to accelerate development, refactoring, and code review tasks while maintaining high quality standards.

Between 2023 and 2025, prior to joining Infoport, I dedicated a period to applied research and independent development focused on the convergence between frontend architecture and AI engineering. During this phase I designed and prototyped four open-source solutions: Attention Matrix Explorer — interactive visualization of transformer attention matrices with D3.js and Web Workers; Semantic Search Engine — corporate semantic search engine with PostgreSQL + pgvector and HNSW indexing; Cognitive Agent Orchestrator — cognitive agent orchestrator with ReAct pattern and real-time SSE streaming; and Token Cost Analyzer — 100% client-side LLM prompt cost and tokenization analyzer with WebAssembly.

Previously, I was part of NTTData as a Full Stack Developer intern, where I worked on the design and implementation of an employee management platform with Angular and Java. I also interned as a data analyst at Sothis, where I contributed to database analysis and design for compensation plans.

Outside of coding, you will often find me working out at the gym, hiking in the mountains, reading novels, or enjoying good company at a bar with friends.