Summary
I'm an Embedded Engineer with 3 years of experience. I have 1 year of experience in Autosar (AUTomotive Open System ARchitecture) and MCAL (Microcontroller Abstraction Layer) and 2 years of experience in Linux system.
- Programming skill in C/C++, Python, Bash shell script
- Experience with Stm32, Renesas chip, CANAlyzer
- PCB design in KiCad
- Experience with Git, SVN, Jira, Redmine
- Knowledge about V Model
- Working on Linux
- Good at reading technical documents
Education
HCMC University of Technology and Education
Mechatronics Engineering Technology
06/2016 - 08/2020
Professional Experience
Ban Vien (Onsite at Renesas) - Embedded Software Engineer
PROJECT: RZ-CIP
01/2023 - present
Description:
Verification BSP (Board Support Package) and updating Mali - graphic package for Renesas chip (G2L, G2)
Responsibilities:
- I led 3 members of the verification team. Training new members and growing up team.
- Involved in improved and maintained Integration Test to support CI/CD team deploying automated Test Suite on board.
- Summary and discuss the issue with the BSP team.
- Verify BSP and release package to customer.
- Get input from ARM and build Mali-graphic package to support GPU on Renesas Chip (G2L) after that release lib to BSP team.
PROJECT: R-Car Gen3
9/2020 - 12/2021
Description:
Development of new features and maintenance Test Suite, and MCAL driver following customers and AUTOSAR standard requirement.
Responsibilities:
- Participated in full development cycle and represented as Module Owner of CAN Driver.
- Involved in improved and maintained Test Specification and Test Suite.
- Executed Unit Test, Integration Test, Performance Test for CAN Driver and Configuration Test for CAN Generation Tool.
- Executed on-board C0/C1 Coverage Testing, provided judgements and created new Test Cases.
- Can using debug tool TRACE32, Canalyzer to analyze the bugs/issues
LABORATORY IN UNIVERSITY
PROJECT: Digital Race 2019 FPT competition
06/2018 - 07/2020
Description:
This is a competition of FPT company. Car control in ROS (Robot Operating System) and unity 3D. Final project Vehicle detection and tracking in Vietnam’s traffic using OpenCV, Yolo-tiny v3 on Jetson Nano.
Responsibilities:
- Participate in data collection, image processing and training with Yolo-tiny v3.
- Involved in improved lane recognition algorithm
Achievement
Rookie of the year award
