Tomás Sánchez Villaluenga

Critical Embedded Systems Engineer at Airbus Defense and Space - Capgemini Engineering

Advanced training internship in Embedded Systems, Microelectronics, Real-Time systems (RTOS) and Advanced FPGAs to have complete knowledge as Embedded Systems Consultant. Verification and certification of DAL-A Risk requirements for software changes to the Internal Processing part of the 'Air Refueling MRTT' project.

Sensor IoT Developer (Part-time) at IMDEA Materials Institute

Designed and implemented multiple IoT applications using signals from novel materials, including fire detection and alert systems, smart wearables based on TENGs (triboelectric nanogenerators), and an intelligent vest built entirely with TENG technology.

Aerial Robotics Researcher Internship at CVAR UPM (Computer Vision & Aerial Robotics Lab, UPM)

Analysis and implementation of different types of ROS2 nodes (Standard, Composable, Lifecycle) to monitor the resource consumption of current nodes in Aerostack2 (ROS2 framework). From the analysis, it was concluded that the nodes of the Aerostack2 missions should be modified to Composable Nodes since the consumption was much lower.

Student Researcher & MSc Thesis (AI, CV) at Technische Universität Dortmund (FLW)

Automated preprocessing, segmentation, and labeling of event-based data, evaluating machine learning models to accelerate workflows and improve annotation precision and predictive performance. Created an event-based dataset for logistics and a 3D NeRF-based dataset to enrich model training. Designed and implemented open-source software algorithms to replace physical position markers, simulating positional data with greater safety and accuracy.

Critical Embedded Systems Engineer at Airbus Defense and Space - Capgemini Engineering

Advanced training internship in Embedded Systems, Microelectronics, Real-Time systems (RTOS) and Advanced FPGAs to have complete knowledge as Embedded Systems Consultant. Verification and certification of DAL-A Risk requirements for software changes to the Internal Processing part of the Air Refueling MRTT project.

Sensor IoT Developer (Part-time) at IMDEA Materials Institute

Designed and implemented multiple IoT applications using signals from novel materials, including fire detection and alert systems, smart wearables based on TENGs (triboelectric nanogenerators), and an intelligent vest built entirely with TENG technology.

Aerial Robotics Researcher Internship at Computer Vision & Aerial Robotics Lab in UPM (CVAR UPM)

Analysis and implementation of different types of ROS2 nodes (Standard, Composable, Lifecycle) to monitor the resource consumption of current nodes in Aerostack2 (ROS2 framework). From the analysis, it was concluded that the nodes of the Aerostack2 missions should be modified to Composable Nodes since the con sumption was much lower.

Student Researcher & MSc Thesis (AI, CV) at Technische Universität Dortmund (Chair of Material Handling and Warehousing, FLW) – Germany

Automated preprocessing, segmentation, and labeling of event-based data, evaluating machine learning models to accelerate workflows and improve annotation precision and predictive performance. Created an event-based dataset for logistics and a 3D NeRF-based dataset to enrich model training. Designed and implemented open-source software algorithms to replace physical position markers, simulating positional data with greater safety and accuracy.

Sensor IoT Developer (Part-time) at IMDEA Materials Institute

Designed and implemented multiple IoT applications using signals from novel materials, including fire detection and alert systems, smart wearables based on triboelectric nanogenerators (TENGs), and an intelligent vest built entirely with TENG technology.

Aerial Robotics Researcher Internship at Computer Vision & Aerial Robotics Lab in UPM (CVAR UPM)

Analysis and implementation of ROS2 nodes (Standard, Composable, Lifecycle) to monitor the resource consumption of current nodes in Aerostack2; concluded that using Composable Nodes reduces consumption for Aerostack2 missions.

Student Researcher & MSc Thesis (AI, CV) at Technische Universität Dortmund (Chair of Material Handling and Warehousing, FLW) – Germany

Automated preprocessing, segmentation, and labeling of event-based data; evaluated machine learning models to accelerate workflows and improve annotation precision and predictive performance. Created an event-based dataset for logistics and a 3D NeRF-based dataset to enrich model training. Designed and implemented open-source software algorithms to replace physical position markers, simulating positional data with greater safety and accuracy.

Sensor IoT Developer (Part-time) at IMDEA Materials Institute

Designed and implemented multiple IoT applications using signals from novel materials, including fire detection and alert systems, smart wearables based on TENGs (triboelectric nanogenerators), and an intelligent vest built entirely with TENG technology.

Aerial Robotics Researcher Internship at CVAR UPM (Computer Vision & Aerial Robotics Lab, UPM)

Analysis and implementation of ROS2 nodes (Standard, Composable, Lifecycle) to monitor the resource consumption of current nodes in Aerostack2 (ROS2 framework). From the analysis, it was concluded that the nodes of the Aerostack2 missions should be modified to Composable Nodes since the consumption was much lower.

Student Researcher & MSc Thesis (AI, CV) at Technische Universität Dortmund (FLW) – Germany

Automated preprocessing, segmentation, and labeling of event-based data, evaluating machine learning models to accelerate workflows and improve annotation precision and predictive performance. Created an event-based dataset for logistics and a 3D NeRF-based dataset to enrich model training. Designed and implemented open-source software algorithms to replace physical position markers, simulating positional data with greater safety and accuracy.

Sensor IoT Developer (Part-time) at IMDEA Materials Institute

Designed and implemented multiple IoT applications using signals from novel materials, including fire detection and alert systems, smart wearables based on TENGs (triboelectric nanogenerators), and an intelligent vest built entirely with TENG technology.

Aerial Robotics Researcher Intern at Computer Vision & Aerial Robotics Lab in UPM (CVAR UPM)

Analysis and implementation of different types of ROS2 nodes (Standard, Composable, Lifecycle) to monitor the resource consumption of current nodes in Aerostack2 (ROS2 framework). From the analysis, it was concluded that the nodes of the Aerostack2 missions should be modified to Composable Nodes since the consumption was much lower.

Student Researcher & MSc Thesis (AI, CV) at Technische Universität Dortmund (Chair of Material Handling and Warehousing, FLW) – Germany

Automated preprocessing, segmentation, and labeling of event-based data, evaluating machine learning models to accelerate workflows and improve annotation precision and predictive performance. Created an event-based dataset for logistics and a 3D NeRF-based dataset to enrich model training. Designed and implemented open-source software algorithms to replace physical position markers, simulating positional data with greater safety and accuracy.