LNT / ENGINEERING PORTFOLIO
HARDWARE / FIRMWARE / VALIDATION

From schematic
to sensor data.

A selection of projects built around STM32, ESP32 and digital systems — with a clear view of my contribution, the implementation and the evidence behind it.

3.63/4Cumulative GPA
STM32 + ESP32Embedded platforms
2023 — PresentHUFLIT

01Selected projects

CODE & PHYSICAL HARDWARE
Assembled STM32L4P5 MCU board, photographed on a black backgroundACTUAL HARDWARE · STM32L4P501 /
GRADUATION THESIS · TEAM OF 2

A modular, low-power STM32L4 platform

An STM32L4P5 extension with a separate 2-layer power board and 4-layer MCU board, designed from schematic through PCB layout in Altium.

  • Designed both extension boards and carried out physical bring-up; the first fabricated revision operated successfully.
  • Provided SPI, I2C, UART and SWD interfaces, a 1.8 V power domain and controlled sensor power.
  • Documented the hardware with board photographs, layer drawings and STM32L4P5 voltage/current plots.
Altium DesignerSTM32L4P5PCB designLow power
Design & measurement notes

The extension's hardware measurements are separate from my statistical analysis of the team's STM32L432 reference-board dataset. That analysis used permutation tests and Benjamini–Hochberg adjustment; it is not a Buck/LDO benchmark of this extension. The reference dataset remains private.

STM32L4P5 VBUS voltage and current during an approximately 60-second window, labelled 3.6 V

STM32L4P5 measurement example, 3.6 V condition. A waveform observation, not a claim of regulator efficiency or average energy savings.

Explore project ↗Hardware gallery ↗
Greenhouse system reference diagram showing ESP32-S3, environmental, soil and CO2 sensors, relays, pump and fansSYSTEM REFERENCE DIAGRAM02 /
COURSE PROJECT · TEAM OF 3

ESP32-S3 greenhouse sensor integration

Migrated the sensing subsystem of a Raspberry Pi 5-based greenhouse design to ESP32-S3 N16R8, aiming to reduce cost, power consumption and system complexity.

  • Integrated environmental, soil and CO₂ sensing over I2C, UART and RS485 Modbus RTU using existing libraries.
  • Used three sensor tasks and one MQTT task with a shared-data mutex; published JSON telemetry to the application.
  • My focus was sensor acquisition and integration. Teammates handled the application and application-side automation.
ESP32-S3FreeRTOSMQTT / JSONModbus RTU
Implementation & current limitations

The system operated on a physical setup. The published snapshot includes MQTT retries, but has not been re-tested during portfolio preparation. The source diagram uses CO₂ GPIO 15/16 while the code uses 4/5; TLS certificate verification and Wi-Fi recovery also need further work. These limitations are documented in the repository. No measured cost or power savings are claimed.

Explore project ↗View firmware ↗
DIGITAL DESIGN · IN PROGRESS

Single-cycle RISC-V CPU

Verilog RV32IM project covering 48 instructions. My contribution: testbenches, simulation and waveform-based debugging in Vivado. FPGA deployment and timing/resource results are not yet available.

Verilog / Vivado / Testbench
COMPUTER VISION · COURSE PROJECT

Vietnamese traffic-sign detection

Combined two compatible datasets into 10,000+ images and tested teammate-trained YOLO26 weights with Python. Observed approximately 30 FPS on a laptop GPU; Raspberry Pi 5 deployment was planned, not completed.

Python / OpenCV / YOLO26

02Background & toolkit

EDUCATION

HUFLIT

Ho Chi Minh City University of Foreign Languages – Information Technology

Specialization: Microelectronics Engineering (Kỹ thuật vi mạch)

2023 — Present · GPA 3.63/4

Relevant coursework

Embedded Systems · Embedded Programming · Microprocessors and Microcontrollers · Digital Logic Design · Internet of Things · Intelligent Systems

Programming

C · Python · Verilog

Embedded & connectivity

STM32 · ESP32 · FreeRTOS
SPI · I2C · UART · SWD
RS485 / Modbus RTU · MQTT / JSON

Design & development tools

Altium Designer · STM32CubeIDE
Arduino IDE · Vivado · Proteus

Data & computer vision

pandas · NumPy · OpenCV · TensorFlow

THE NEXT STEP

Let's build something useful.

I'm looking for an Embedded Systems internship where I can contribute to hardware–firmware integration and keep developing my engineering skills.

Get in touch ↗