Vo Minh Chanh

Embedded Software Engineer

Experienced in developing AI and embedded systems. Seeking challenges to grow into a Solution Architect.

Experience & Projects

Advanced Computing Lab in HCMUT

Nov 2025 - Now

Firmware Team Lead & Embedded AI Engineer

Final thesis: Smart Glove for Sign Language Recognition

Developed a handy smart glove for real-time sign language recognition using embedded AI.

  • Designed the hardware using ESP32-S3, ESP32C6, Flex sensors, IMU,...
  • Compressed C-LSTM model for efficient inference on smart glove.
  • Implemented real-time sign language recognition algorithms.
  • Output voices for sign language interpretation.
Project Media

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Project: Fall Detection System (Radar-based)

Developed a privacy-preserving fall detection system using 60GHz radar and ESP32-S3.

  • Processed radar data on ESP32-S3 to detect 100% fall detections using embedded AI.
  • Implemented IoT communication via MQTT for real-time alerts to server.
  • Managed tasks and event handling using FreeRTOS.
  • Designed OTA updates and explored radar signal characteristics.

Project: Medical Diagnostic Support Belt

Led firmware and embedded AI development for a wearable posture monitoring system on Nordic nRF SoCs.

  • Developed posture classification and activity recognition using embedded ML.
  • Deployed optimized and quantized models via Edge Impulse on nRF5340 (Thingy:53) SoC.
  • Implemented real-time firmware in C using Zephyr RTOS for efficient task scheduling and low-power operation.
  • Built Python-based data collection pipelines and preprocessing tools for model training.

Project: AirMouse (BLE HID Controller)

Developed an AirMouse prototype that captures hand motion and gesture signals, then controls a PC as a wireless mouse.

  • Built firmware on ESP32-S3 and ESP32-C6 to acquire real-time signals from IMU and flex sensors.
  • Implemented BLE HID profile to connect directly to laptops/desktops without a dedicated receiver.
  • Validated cross-platform operation on Windows and macOS.
  • Used RTOS task scheduling for sensor sampling, HID reporting, and UI updates on an LCD display.
Project Media
AirMouse hardware and prototype overview

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National Chung Cheng University

Jun 2025 - Aug 2025

Research Student (Taiwan)

Research: Model Compression for Microcontrollers

Applied Quantization-Aware Training (QAT) to embed LSTM models into microcontrollers.

  • Integrated Long Short-Term Memory (LSTM) models into ESP32-S3 with low inference latency.
  • Optimized model weights while maintaining high accuracy.
LSTM_QAT — Open document

FPT Software Company

Jun 2024 - May 2025

Embedded/Test Engineer

Project: Flashing Tool

Automotive tool for CAN/CANFD data & ECU reprogramming.

  • Researched Autosar architecture technologies.
  • Integrated Bluetooth connectivity into the system.
  • Wrote automation scripts using AutoIT for software testing.

Project: Smart Key (PoC)

Smart lock system based on ESP32-S3, Wi-Fi, LoRa, and AWS IoT.

  • Developed firmware for ESP32-S3 using ESP-IDF.
  • Established communication with AWS IoT Cloud.
  • Implemented LoRa driver and OTA update features.

Project: Radar System

  • Used STM32 for Lidar sensor calculations and ESP32 as a Web Server.
  • Developed new features and ensured system stability.

TMA Solutions

Aug 2022 - Jan 2024

Embedded Engineer

Project: Telecom System

Secure call initiation system using C/C++, Gstreamer, and SDP.

  • Fixed system crash errors related to SDP protocols.
  • Developed audio recording features.
  • Increased system stability.

Viettel IoT Lab 5G

May 2022 - Jul 2022

Internship

Project: Zigbee Technology

  • Built IoT systems using Zigbee and Thingsboard platform.
  • Analyzed packets using CC2530 and WireShark.
  • Deployed IoT Gateway using Raspberry Pi.

Insitu Company

Mar 2022 - Jun 2022

Apprentice

Project: Indoor Positioning

Industrial circuit design for warehouse vehicle detection.

  • Designed circuits using Altium.
  • Implemented STM32 and DWM1000 positioning modules.

Research Papers

Recognize signlanguage by using flexsensor and machine learning

Sep 2023 - Jun 2024

Research Project

This research presents a wearable flex-sensor based sign language recognition system using lightweight machine learning models suitable for microcontroller deployment.

  • Custom flex-sensor hardware to capture finger bend signals.
  • Data collection and model training with on-device optimizations.
  • Real-time inference on ESP32-class devices.
Project Demo

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Paper / Project PDF: Recognize signlanguage by using flexsensor and machine learning

Open PDF — or download.

Certifications & Awards

AWS Certified

Cloud Practitioner

CEFR B2

English Certificate

Robot Contest

Line-following Robot Design

Internship Cert

National Chung Cheng University (Taiwan)

Education

HCMC University of Technology

Master of Computer Science (by Research)

GPA: 3.2/4.0 | 2024 - 2026

HCMC University of Technology

Bachelor of Computer Engineering

GPA: 3.0/4.0 | 2019 - 2024