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 (31 h-index), a renowned expert in computer vision and thermography.
One of my key achievements was successfully migrating our scraping infrastructure to Google Compute Engine, which significantly improved data collection reliability and optimized job execution. I also introduced CI/CD processes using GitLab CI, enhancing code quality and reducing errors.
Additionally, I led the Data and Analytics department, where I implemented QA processes to ensure data accuracy and defined key performance indicators (KPIs) to track departmental success.
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.