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Kien connects perception software with the embedded target and verification workflow that make it useful in an ADAS system. His experience includes camera/radar programs, GPU-to-ECU porting, requirement analysis, host/target testing and CI/CD automation. As Senior ADAS Perception Engineer, he brings an end-to-end view of a perception feature: the model and input data, the target integration, the interpretation of its outputs and the evidence needed to investigate differences.

Selected experience

Camera-perception porting and target verification

FPT Software, Japanese automotive camera programs

His camera-platform work includes analyzing recognition specifications, adapting software and configuration to a target ECU and investigating host/target behavior. Responsibilities span model binaries, dictionaries, scheduler integration, communication interfaces, release branches and frame analysis. He has also developed Python and Excel-VBA tooling for consolidated diff reports and authored technical documentation across Japanese, English and Vietnamese workflows.

Radar software testing and delivery automation

FPT Software, Automotive CI/CD and verification

Kien has built and maintained build/test pipelines and host/target unit and integration-test environments using tools such as Bitbucket Pipelines, Cantata, GoogleTest, Squish Coco, TRACE32, GHS and MSVC. His work covers requirement-based specifications, regression execution, coverage analysis and defect investigation. This helps connect perception development with a repeatable delivery and review process.

A complete small-scale ADAS prototype

Independent engineering project, Perception, control and firmware

His portfolio includes a 1/10-scale vehicle prototype spanning lane and object perception, behavior rules, PID-based vehicle control, ESP32-S3/FreeRTOS firmware, UDP telemetry and a PC-based HMI. The work also includes Raspberry Pi camera streaming, safety logic, watchdog behavior and sensor feedback. It provides direct integration experience across the boundary between an AI pipeline and a moving physical platform.

Industrial firmware and data integration

My Lan Group and TrueCommerce Vietnam

Earlier work includes firmware for industrial packaging and vending systems, peripheral integration, operating-state machines and hardware/software debugging. His data-integration experience includes EDI/XML/CSV mappings, validation rules and the investigation of input/output defects. These projects strengthen his attention to interfaces, data consistency and reliable behavior across system boundaries.

Education & Development

Kien holds a B.Eng. in Mechatronics Engineering at Can Tho University of Technology (2017–2021). His technical practice includes C/C++, Python, OpenCV, PyTorch, YOLO, UFLD/ParsingNet, TensorRT/CUDA, embedded firmware and real-time communication. Language capability is recorded as native Vietnamese and professional working English.

Collaboration

Kien can help partners bring a perception feature from an offline environment into an embedded system, investigate target differences and create an effective validation and automation workflow. Engagements can combine model/configuration porting, input/output inspection, ECU integration, regression tests and engineering tools. His prototype experience also supports discussions about the interaction between perception, vehicle behavior, control and operational safety.

Full professional background
  • 5+ years total, 3+ years focused on automotive radar & camera ADAS
  • Develops & verifies ADAS camera-perception software, porting GPU models to target ECU
  • Analyzed 70+ technical specs: traffic-sign recognition, object detection, degraded conditions
  • Built Python/Excel-VBA tooling — cut diff/porting review time from hours to minutes
  • Engineered CI/CD pipelines & host/target test environments for a radar ADAS program
  • Personal project: full-stack 1/10-scale ADAS prototype (perception, PID control, FreeRTOS, telemetry)

Expertise

  • ADAS Camera & Radar Perception
  • ECU Porting & Verification
  • CI/CD Automation
  • Computer Vision (YOLOv8/OpenCV/TensorRT)
  • Embedded/RTOS (ESP32/FreeRTOS)
  • V-Model Testing

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