Unai Orbe Deusto

Develop and integrate robotic systems for complex industrial environments, covering simulation, teleoperation, connectivity, telemetry and autonomous functions. Integrate software, networking and sensing subsystems; support testing, troubleshooting and deployment of robotic platforms in lab and field environments. Coordinate technical activities and act as an engineering interface with clients, su

Developed C/C++ software for Communications-Based Train Control (CBTC), working on the Zone Controller within a safety-critical railway environment. Worked within structured software development, verification and configuration-control processes applicable to high-reliability systems.

Built an automated Python telemetry-processing and reporting pipeline using iRacing and MoTeC data to compare a coached driver against a reference driver and prioritise driving-technique improvements. Implemented lap validation, distance alignment, corner benchmarking and repeatable coaching metrics; the study recorded a 2.976 s improvement, finishing 0.082 s from the reference lap.

Developed and integrated 4G/5G telematics ECU software and custom Linux/Yocto environments on Qualcomm-based embedded platforms using C/C++ and Python. Supported software integration, debugging and validation across embedded hardware, operating-system and communications layers.

Developed and maintained HIL test benches and automation using NI TestStand, CAPL and Python; worked with CANoe/CANalyzer and CAN-based ECU networks. Supported validation activities and knowledge transfer to other engineers, improving repeatability and efficiency of test execution.

Reviewed requirements, created and executed ECU and cybersecurity test cases, and supported system-integration validation for a Stellantis ADAS programme. Worked across customer and engineering interfaces to resolve test dependencies, trace issues and deliver test evidence and reports.

Designed and implemented a Python-based CAN/OBD-II communication platform for embedded Linux IoT devices, including real-time ECU data acquisition, logging and server transmission. Delivered the project as a Telecommunications MSc thesis; the resulting solution was subsequently offered by the company to customers.

Contributed to the team's first autonomous-driving prototype, covering camera/LiDAR perception, Ethernet architecture, SLAM, neural-network processing and vehicle-system integration. Used ROS2, Linux, MATLAB/Simulink, LabVIEW, CAN and virtual testing; the project supported a later 1st place in Design and 8th overall result at Formula Student UK.

Supported tyre-pressure preparation and monitoring, data analysis and setup adjustments based on driver feedback during a live race weekend.

MSc in Advanced Motorsport Engineering with focus on vehicle dynamics, race car applications, driver coaching, race strategy and motorsport data analysis.

Exchange programme providing international academic experience in Prague, Czech Republic.

Master's degree in Telecommunications Engineering with focus on communications, embedded systems, software and networking.

Bachelor's degree in Telecommunications Engineering.