Tráng Lê Công

Participated in the full lifecycle design and development of critical components within Driver Monitoring System (DMS), specifically enhancing real-time driver protection capabilities. Successfully integrated AI/ML-driven engines for facial recognition, eye tracking, and behavioral analysis within a performance-critical DMS.

Designed and implemented real-time embedded software modules in C/C++ for an next-generation wafer grinding machine, focusing on high-precision motion control. Applied advanced control algorithms (e.g., PID) and optimized code for efficient data processing and synchronized multi-axis movements, enhancing grinding accuracy.

Developed and maintained AUTOSAR drivers for NXP microcontrollers, ensuring stability, scalability, and compliance with evolving architecture requirements. Collaborated with architecture, validation, and toolchain teams to deliver reusable, well-documented embedded components for production deployment.

Actively participated in all phases of the software development lifecycle (specification, design, development, maintenance) for Intelligent Traffic System (ITS) solutions. Designed and implemented software components with a strong focus on reliability, low latency, and efficiency, crucial for real-time traffic management.

Implemented robust Bluetooth and Wi-Fi middleware services in C/C++ for IVI systems, ensuring seamless and stable connectivity. Proactively refactored existing codebases according to Dependency Injection concepts to significantly improve the testability and maintainability of the middleware components.

Grade: Consolation Prize of Olympic Circuit Theory

Activities and societies: Consolation Prize of Olympic Circuit Theory

Obtained an Engineer's degree in Control Engineering and Automation. Awarded a Consolation Prize in Olympic Circuit Theory, demonstrating strong foundational knowledge in the field.