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Software Engineer

Nguyen Trong Tin

📷 Information

  • Name: Nguyen Trong Tin
  • Github: https://github.com/tin-nguyen-31k17
  • Email: tin.nguyen.31k17@hcmut.edu.vn

🏃 Experience

Bosch Global Software Technologies Vietnam (May 2023 - Present)

External Software Engineer

  • Analyze and design software components for car head units using Unix shell scripting and Android emulators.
  • Develop software & integrate HMI for car head units and other automotive systems on Linux-based systems.
  • Follow established engineering processes such as Agile, SAFe to ensure timely and efficient delivery of software components.
  • Validate the functionality & reliability of developed software components through unit testing.
  • Collaborate with team members using tools like Git/Gerrit to manage code repositories and review changes.
  • Maintaining communication between integrated control units via the vehicle bus system (SPI, CAN or LIN).

FPT Telecom, Inc. (January 2023 - April 2023)

C++ Embedded Developer

  • Participated in designing, implementing, and testing software components for FPT surveillance ONVIF camera using TCP/IP.
  • Conducted requirement analysis and analyzed/debugged embedded software.
  • Implemented Agile workflow for the project, ensuring efficient communication & collaboration within the team.
  • Communicated effectively with foreign customers, coordinated team activities and handled day-to-day work independently.
  • Executed test cases and analyzed failure & bug reports to ensure optimal software performance.
  • Utilized C/C++, Docker, Git, and Linux for software development and testing.

🖥 Skills

  • Languages: C/C++, Python, Verilog
  • Frameworks: Android, UNIX Shell Scripting, HTML, CSS, JS
  • Libraries: Git, Docker
  • Databases:
  • Tools: Building, Troubleshooting & Optimizing PC

🗨️ English

  • IELTS - 7.0

📑 Project

Street Line Detection using STM32 and OV7670 Sensor

  • Developed a system using STM32H743ZI microcontroller and OV7670 camera module to detect street lines and take appropriate actions based on the detected lines
  • Utilized STM32H743ZIx MCU and OV7670 Camera Sensor to ensure accurate detection of the position and slope of the street lines
  • Utilize DCMI, I2C, UART interface along with DMA for smooth communication between the microcontroller and camera sensor

Smart Agriculture AIoT System

  • Developed a system utilizing RS485 interface with soil, air, and camera sensors to monitor farm conditions
  • Implemented AI to provide plant management decisions
  • Utilized NUC as a host server to process raw data
  • Reviewed and optimized code
  • Utilized RS485 interface and integrated soil, air, and camera sensors
  • Utilized Adafruit Dashboard and Android mobile app for system control and monitoring
  • Worked as an Embedded Developer and Hardware Specialist
  • Analyzed and designed system components