
Rodrigo de la Iglesia Sánchez
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Rodrigo de la Iglesia Sánchez
Senior Engineer in the Railway Safety Systems Innovation team at Indra. Coordinated and con- tributed to key European innovation projects, including the ERJU program under Horizon 2030. My primary responsibilities include: • Design and development of AI and IoT-based solutions for critical railway systems (AI and Computer Vision). Python, Computer vision, Docker, IoT and System Design • Team lead of the design team at INDRA’s innovation department. • Coordination and collaboration in European projects.
- 3 Jahre und 6 Monate, Sep. 2019 - Feb. 2023
Industrial Process Engineer
INCARLOPSA
Implemented AI-driven solutions to automate and optimize production processes. Key accomplishments: • Developed a C++ computer vision system using OpenCV, reducing packaging defects by 40%. • Applied data analysis techniques to optimize production efficiency, collaborating with internal teams and vendors. • Installed machine learning-based vision systems for quality control and inspection
- 3 Monate, Mai 2019 - Juli 2019
Industrial Engineer intern
Órbita Ingeniería S.L.
Worked as a camuter vision engenieer intern, where I had the chance to collaborate on various projects in the food and automotive industry. I was able to develop my skills in different computer vision areas like camera and hardware calibration and development and training of machine learning algorithms.
Ausbildung von Rodrigo de la Iglesia Sánchez
- Bis heute 4 Jahre und 10 Monate, Sep. 2020 - Juni 2025
Engineering
Universidad Politécnica de Madrid
Master in Robotics and Automation Engineering. in Autonomous Vehicles: Project in collaboration with the UPM’s Centro de Automática y Robótica (CAR) and the Spanish National Research Council (CSIC), focused on de- veloping an advanced positioning system for autonomous vehicles using data fusion and Deep Learning techniques. The development makes use of advance technologies, such as LiDAR pointcloud processing or semantic segmentation Deep Learning models (Transformer architectures).
- 5 Jahre und 1 Monat, Sep. 2014 - Sep. 2019
Industrial Engineering, Electronics and automation engineering
Universidad de Castilla-La Mancha
Sprachen
Englisch
Fließend
Spanisch
Muttersprache
Deutsch
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