Entry-Level V&V Engineer (Automotive)

Cao Quang Huy

Embedded Software Verification and

Validation

+84-786-***-*** ****************@*****.*** linkedin.com/in/quanghuy2810 github.com/huyquang2810 Profile Summary

A final-year Computer Engineering student with a fundamental understanding of hardware/software development and working knowledge of embedded systems using C/C++ and Python. Interested in learning new technologies and quickly adapt. Known for logical thinking, proactive problem solving and commitment to applying technical skills in collaborative and innovative engineering projects. Education

University of Information Technology Ho Chi Minh City, Viet Nam Bachelor in Computer Engineering (4th year Undergraduate) 2022-Present GPA: 8.45/10

Certifications

IELTS ACADEMIC: 6.5 (2024) – Valid until 2026

SOLIDWORKS CAD Design Professional: October 12 2025 Experience

Embedded Sofware Intern Aug. 2025 – Dec.2025

Bosch Global Software Technology - Software and System Testing for EAE Department

• Create, execute, and maintain unit and integration tests for software components and ECUs.

• Analyze test reports, provide feedback, and report bugs to the software and system teams.

• Supported development of test and integration automation tools leveraging Python and Excel automation.

• Use CANoe and CAPL scripts to simulate CAN messages for testing purposes.

• Have knowledge with the department’s Central Gateway (CGW) system. Technical Skills

Languages: C/C++, Python.

Familiar with MCU peripherals: GPIO, TIMER, UART, ADC, DMA ... Familiar with source version control software: Git. Capable of reading and understanding HW/MCU/SOC reference manual and schematic. Capable of writing, speaking and reading English documentation. Capable of debugging with VOM, Logic Analyzer.

Projects

Twinaxis Studio: Precision Robotic Sketching System Mar. 2025 – Apr. 2025 Using STM32 to control a two-axis robot for precise shape drawing based on coordinate input.

Receives coordinate inputs and computes drawing paths by determining the start and end points of each edge.

Adjusts the speed ratio between the two axes to ensure accurate trajectory following.

Controls stepper motors via PWM duty-cycle tuning to draw geometric shapes (triangles, rectangles, etc.). AutoGrade: Intelligent Test Scoring System Mar. 2025 – Apr. 2025 Using ESP32-CAM and ESP8266 to automate the grading of multiple-choice answer sheets.

Captured images are transmitted from ESP32-CAM to the server via MQTT.

ESP8266 manages the automatic ejection of graded sheets and the loading of new ones.

Grading results are processed and stored in a centralized database. Artistic Robot – 5 DOF Portrait Drawing Mar. 2025 – Jul. 2025 Develop a robotic system capable of drawing portraits within 100 seconds.

Ported GRBL firmware to STM32 for precise multi-axis motion control.

Developed user interfaces for both mobile and desktop control.

Integrated image processing techniques to enhance sketch clarity and line accuracy.

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