Led multiple computer vision projects across different points of the manufacturing plant, implementing real-time monitoring and quality control systems.
Developed an IoT-based control software for a smart greenhouse, automating environmental conditions to optimize growth and resource efficiency.
Developed various applications aimed at the company’s digital transformation, focusing on reducing paper use and streamlining processes.
A computer vision project that focuses on the development of low-cost systems for automated detection of surface defects within the framework of Industry 4.0 and smart manufacturing, employing techniques of computer vision and deep learning.
Worked under the supervision of Professor Rubén Usamentiaga (32 h-index), a renowned expert in computer vision and thermography.
I led the design, setup, and long-term maintenance of robust ETL pipelines, ensuring reliable data ingestion and transformation from multiple external sources. Migrating the scraping infrastructure to Google Compute Engine significantly enhanced performance and reduced downtime. I also introduced CI/CD practices via GitLab CI, increasing deployment efficiency and code quality.
As head of the Data and Analytics department, I enforced QA procedures to guarantee data accuracy and established key performance indicators (KPIs) for tracking success across initiatives.
Indra Award for best coordinated project (focused on autonomous drone flight systems).
Master's Thesis: Attained outstanding grade (9.5).
Final Degree Project: Obtained outstanding grade (10) and proposed for Honors.