Embedded Firmware Engineer with IoT & Vision
Resume:
CONTACT
SKILLS
**************@*****.***
Go Vap District, Ho Chi Minh
City
EDUCATION
Embedded & Hardware:
STM32, ESP32, AVR,
PIC, Jetson Nano,
Raspberry Pi.
VI DAI THAI DUNG
EMBEDDED FIRMWARE ENGINEER
WORK EXPERIENCE
PROFILE
An IoT Engineer passionate about developing intelligent and connected systems. Strong foundation in embedded C/C++ and Python, with experience in hardware design and system integration. My goal is to create seamless hardware–software solutions that deliver high performance and exceptional user experiences.
ISB VIETNAM COMPANY LIMITED 10/2025 - 2/2026
Embedded Software Engineer Intern
New Ocean Automation System Company Limited 5/2025 - 8/2025 Automation Engineer Intern
Hardware Design & Prototyping: Engineered an ESP32-based environmental monitoring system ; designed schematics and PCB layouts using EasyEDA, followed by manual soldering and enclosure assembly. Firmware. Development: Developed optimized C/C++ firmware to interface with multiple sensors (Temp, Dust/PM, Light, CO2) via I2C, SPI, and ADC ; ensured low latency data acquisition and system stability PCB Design & Node-RED: Designed custom PCBs and built a real-time Node-RED monitoring dashboard for an industrial sewing machine DAQ system.
PLC Programming & Electrical: Programmed PLC for an automated bottle counting system and wired power distribution cabinets to safety standards 2021 - 2026
HO CHI MINH CITY
UNIVERSITY OF INDUSTRY
Languages & Software:
C/C++, Python, Git, SVN.
Protocols & Tools: UART,
I2C, SPI, CAN, PWM,
ADC, JTAG, SWD, Logic
Analyzer, Oscilloscope
PCB & AI/CV: Altium
Designer, Proteus,
EasyEDA, OpenCV,
YOLOv8
Internet of Things And Applied
Artificial Intelligence
GPA: 2.9/4.0
PROJECT
Embedded & Computer Vision
Smart Aquarium
Inputs: Temperature, humidity, water temperature, water-level, and camera image data. Processing: ESP32 with custom I2C/OneWire drivers for PWM pump and servo control (with OTA updates); Jetson Nano running OpenCV for fish recognition and behavior analysis; Firebase API for realtime mobile synchronization. Outputs & UI: Automated pump/feeding control, realtime alerts, and historical data visualization via a custom-built Flutter mobile app. Project portfolio and product demo are attached HERE. Embedded IoT & Machine Learning Engineer
Design Of An Embedded IoT System For Real - Time Monitoring Off Industrial Electric Motors For Failure Diagnosing
Inputs: Temperature, current, voltage, and vibration sensor data. Processing: Custom-designed multi-sensor PCB (Proteus/EasyEDA) with ESP32 firmware acquiring data via ADC, I2C, and UART; cloud communication over MQTT/HTTP APIs; Python backend with MySQL storage deployed on AWS; Random Forest and ONNX-based AI inference for motor fault prediction. Outputs & UI: Fault prediction, abnormal-condition alerts, and remote monitoring delivered via mobile/web notifications, a custom Flutter app, and a web dashboard. Project portfolio and product demo are attached HERE. ADDITIONAL
INFORMATION
Project portfolio and product
demo are attached HERE.
5/2025 - 7/2025
10/2025 - 12/2025
Contact this candidate