086*******

ad4qdd@r.postjobfree.com

Dong Hoa, Di An, Binh Duong

C O N T A C T P R O F I L E

T E C H N I C A L

S K I L L S

E D U C A T I O N

M Y P R O J E C T S

Programming Language:

Python

C, C++

Database:

SQL, My SQL

University of Information

Technology (UIT) - VNU-HCM

2019 - present

Computer engineering - Embedded

systems and IoT.

Research on design and implementation of smart desks using IoT platform.

Microcontroller: ESP32-CAM

Description: Design and implement IoT-enabled smart desks for enhanced classroom management. Key components include ESP32-CAM module for image capture, facial recognition model for student identification, and web server application for data processing. The integration of hardware and software enables real-time attendance tracking and interactive user interface through the web interface.

Team size: 6.

Responsibility in project: Explore and utilize ESP32-CAM for capturing and uploading images to Firebase, concurrently storing them and enabling ESP32 communication with the server via HTTP using JSON strings. 08/2023 - 12/2023

I am a final-year student at University of Information Technology - VNU. I'm looking for an internship to help me advance my practical knowledge in the industry.

In the next one to three years, I want to develop into a skilled embedded software engineer with extensive knowledge of product development. L A N G U A G E

P H A M N G O C T H A N H T H A O

E M B E D D E D I N T E R N

S O F T S K I L L S

Teamwork

Self-learning

Problem-solving

Tools:

VS Code

Github

Proteus

Figma

Other:

I have knowledge about : STM32, ESP32,

Ardruino, ..

English: B1

Cambridge English: Preliminary (PET)

Cambridge Assessment English,

University of Cambridge

Prediction of failures of motor by IoT

Microcontroller: ESP32 DEVKIT V1

Description: The project employs sensors to gather data on noise level, temperature, vibration, and motor current. This data is processed by the ESP32 and sent to the cloud for analysis. Machine learning algorithms may predict motor malfunctions. Results are then transmitted to the web for user monitoring via Fetch API, providing visual charts and actionable notifications with AI-driven suggestions.

Team size: 2.

Responsibility in project: Choose and research sensor communication protocols, finalize hardware setup, and simulate using Arduino IDE. Optimizing code, responsiveness anh debugging.

08/2023 - 11/2023

Controlling the color temperature lights for automobiles based on weather conditions.

Microcontroller: ESP32 DEVKIT V1, Arduino Uno R3

Description: The issue at hand is the occurrence of streetlights failing to adhere to road conditions during rain or fog. We propose using sensors to predict rain, fog, or clear weather to control the color temperature of the lights. This system aims to enable users to adjust the color via an app/web interface that is currently under development.

Team size: 1.

Responsibility in project: Execute the completion of hardware and software components, conduct research, and proceed with the development of the web/app for the project.

01/2024 - present

086*******

ad4qdd@r.postjobfree.com

Dong Hoa, Di An, Binh Duong

C O N T A C T

T E C H N I C A L

S K I L L S

E D U C A T I O N

Programming Language:

Python

C, C++

Database:

SQL, My SQL

University of Information

Technology (UIT) - VNU-HCM

2019 - present

Computer engineering - Embedded

systems and IoT.

Stair Climbing Robot

Microcontroller: STM32

Description: Using STM32 to control hardware components for climbing stairs, opting for techniques similar to those used by robots navigating on Mars. Team size: 4.

Responsibility in project: Researching STM32, conducting basic tests on the board, discussing and selecting suitable types of wheels for the research. Reading and translating relevant documentation.

08/2022 - 12/2022

L A N G U A G E

P H A M N G O C T H A N H T H A O

E M B E D D E D I N T E R N

S O F T S K I L L S

Teamwork

Self-learning

Problem-solving

Tools:

VS Code

Github

Proteus

Figma

Other:

I have knowledge about : STM32, ESP32,

Ardruino, ..

English: B1

Cambridge English: Preliminary (PET)

Cambridge Assessment English,

University of Cambridge

Mini weather station

Microcontroller: ESP8266

Description: The mini weather station integrates an ESP8266 module and a TFT ILI9341 display to offer compact weather monitoring. Placed conveniently on a desk or bedside table, it provides essential weather data such as temperature, humidity, and wind speed on its small screen. This setup allows users to effortlessly track weather conditions and plan outdoor activities. Team size: 4.

Responsibility in project: Researching the algorithm, the tasks involve initializing Wi-Fi connection, connecting to the NTP server, setting up and displaying the screen interface, and awaiting signals from the touchscreen sensor. 01/2023 - 05/2023

Contact this candidate