David Enrique Veloz Renteria

- Developed a C++ application for real-time human motion recognition using the Microsoft Kinect SDK - Designed and implemented custom algorithms for posture classification (walking, sitting, standing) based on skeletal tracking data - Processed and analyzed high-frequency sensor data (30 fps) to determine position and movement dynamics - Applied methods from pattern recognition and algorithmic data analysis

- Developed control software for robotic systems - Implemented actuator control (motors) and basic control logic

- Developed electronic systems for medical devices, including hardware–software integration - Designed analog and digital circuits and multi-layer PCBs (mixed-signal design) - Developed automated testing systems for electronic assemblies to ensure functionality and quality - Performed failure analysis and validation of electronic systems - Created technical documentation in compliance with regulatory standards (ISO 13485, ISO 9001) - Selected and qualified electronic components - Trained technical staff in

Teach german language for A1 and A2 levels.

- Contributed to a research project on a wearable system for detecting gait disorders - Supported data analysis and system design for movement monitoring

Engineer internship in the Mechatronics Department of TU Ilmenau (https://www.tu-ilmenau.de/mechatronik/). • Project: Design and Construction of electrorheological Fluid and magnetic Dampingmechanismus for improving the Performance of a piezo-based Nanopositioning System. • Branch: Simulation of the system using a Matlab incorporated tool, SimuLink.

- Master’s Thesis: Prototype development of a wearable system for capturing kinematic back data using inertial measurement units (IMU) (Grade: 2.0) - Focus areas: Robotics, sensor integration, and motion analysis - Experience in biosignal processing and medical imaging (CT) - Practical experience w

I have successfully completed my studies in Mechatronic Engineering Bachelor.