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Nhan combines automotive ECU software, verification automation and the emerging software-defined vehicle stack. His experience spans AUTOSAR Classic, thermal-management controllers, radar testing, ROS 2 simulation and camera/LiDAR perception workflows. As Senior ADAS & SDV Software Engineer, he connects established automotive delivery practices with the software, data and interfaces needed for new vehicle applications.

Selected experience

Automotive thermal-management software

FPT Software, HVAC ECU development

His ECU work includes embedded application software for cabin temperature, blower behavior, actuator positioning and compressor communication. Verification covers CAN/LIN signals, UDS diagnostic services, DTC handling and routines, along with target debugging and integration testing. This provides practical experience with vehicle-controller behavior, communication and the disciplined development process around automotive software.

SDV simulation, HMI and multimodal perception

FPT Software, CARLA, ROS 2, VSS and Unity

Nhan has built bidirectional SDV communication pipelines, synchronized camera/LiDAR data workflows and simulation interfaces for vehicle functions. His experience includes YOLOv8/PointPillars training and evaluation, perception outputs on ROS 2 topics, HMI warnings and gateway nodes connecting application controls to simulated vehicle behavior. This scope links sensor data, AI outputs and the user-visible behavior of an ADAS feature.

AUTOSAR verification and radar CI/CD

FPT Software, Platform testing and automated delivery

His work spans test specifications, requirements traceability, CAPL rest-of-bus tests, host/target build environments and memory-crash investigations with TRACE32. Radar programs include Jenkins/Bitbucket pipelines, internal Python/Groovy tools, regression execution and automated quality reporting. Earlier embedded-test work at GESVN includes WinAMS, C-based tests, documentation automation and training for new verification engineers.

Education & Development

Nhan’s academic background includes Electronics and Telecommunications Engineering at Ho Chi Minh City University of Technology and Education, completed in 2019. His toolset spans C/C++, Python, CAPL, Bash and Groovy, AUTOSAR Classic, CAN/LIN/UDS, CARLA/ROS 2, CI/CD systems and host/target verification tools. His professional background includes FPT Software and Global Embedded Solutions Vietnam.

Collaboration

Nhan can support partners on ECU software, SDV applications and ADAS integration with a strong emphasis on reproducibility and verification. An engagement can combine software implementation, requirements/test traceability, automated pipelines, vehicle-signal integration and perception-data workflows. He helps connect the feature a team wants to build with the environments and checks required to develop it reliably.

Full professional background
  • 7 years in automotive software: AUTOSAR Classic BSW/ASW, CI/CD pipelines, AI perception for ADAS
  • Delivered production-grade embedded software for HVAC thermal-management ECUs
  • Built ROS2-based Software-Defined Vehicle simulation pipelines using CARLA
  • Trained YOLOv8 / PointPillars perception models on synced camera-LiDAR data
  • CI/CD work on a radar ADAS program reached 95%+ MC/DC branch coverage
  • Equally strong on classic ECU platforms and next-gen SDV initiatives

Expertise

  • AUTOSAR Classic
  • Software-Defined Vehicle (SDV)
  • ROS2
  • LiDAR/Camera Fusion
  • CI/CD Pipelines
  • HVAC ECU Systems

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