Nacho Lopez

Automated a production line by integrating sensors and fully digitalizing the manufacturing process. Developed a traceability system capable of evaluating the quality of each individual product. The solution not only enabled product-level quality monitoring but also assessed production equipment performance by measuring failures across different stages of the production line and comparing machine performance to identify opportunities for process optimization.

Developed an AI-powered engineering assistant using an agentic workflow to automate the generation of technical specifications for military vessels. The system extracted requirements from text and audio conversations, validated them against engineering standards and regulations using a Retrieval-Augmented Generation (RAG) knowledge base, and automatically generated manufacturing-ready technical documentation.

Developed a simulation platform for Underwater Wireless Optical Communication (UWOC) systems to evaluate and optimize hardware components for autonomous underwater vehicles operating under different environmental conditions. The simulator measured critical performance metrics to support component selection and configuration with military-grade accuracy requirements.