Kelvin Chan

Electronic Systems & IoT Engineer

PolyU Student | Hardware & Software Integration Specialist
Experienced in C/C++ microcontrollers, Sensor Arrays, and AI-driven IoT Solutions.

Who I Am

Brief Information


I am a Year 3 Electronic Systems and IoT student at The Hong Kong Polytechnic University. I have a passion for bridging the physical and digital worlds through embedded programming, sensor integration, and hardware design.

My background covers the complete engineering lifecycle—from CAD modeling (SolidWorks, AutoCAD) and PCB design (EDA/PAD) to writing real-time control software in C/C++ for STM32 and Arduino platforms. I am currently honing my skills in computer vision and AI feedback systems through my Final Year Project.

Check out my current internship →

Innospire

Current Software Intern

Smart Football

Active FYP (AI & IoT)

Robotics

PID / Autonomy / Sensors

CAD & PCB

SolidWorks / EDA / PAD

Current Position

Professional Experience


Assistant Software Engineer (Intern)

Innospire (Current - 2 Month Internship)

Currently working as an Assistant Software Engineer at Innospire. Applying my programming and systems thinking skills to real-world software development projects. Gaining valuable industry experience in agile workflows and embedded system deployments.

My Expertise

Technical Skills


Embedded & Control

STM32CubeIDE, Arduino IDE. Expert in C/C++ for real-time control, implementing PID controllers for stable robot systems.

CAD & Hardware

SolidWorks, AutoCAD, EDA/PAD for PCB design. Experienced in prototyping complex mechanical and electronic assemblies.

AI & Computer Vision

Integrating AI feedback loops into IoT devices. Currently exploring posture detection and data analytics for sports applications.

IoT & App Integration

Bluetooth modules, sensor arrays, and mobile app connectivity for real-time data logging and user interaction.

Portfolio

Key Projects & Research


In Progress (FYP)

AI-Powered Smart Football

Final Year Project (Expected completion: Summer 2027). Developing an IoT smart football utilizing internal sensors to track kicking power, force, and spin/turn metrics.

  • Hardware: Integrated IMU 9-axis accelerometer and gyroscope.
  • App Integration: Mobile app for data logging, progress tracking, and historical analytics.
  • AI Feedback: Future implementation uses computer vision and ML to analyze posture and kicking techniques to provide actionable feedback.
IoTAI/MLMobile AppSensor Fusion

Autonomous Line-Following Robot

Designed and programmed an autonomous robot car system, evolving from basic logic to advanced control mechanisms.

  • Sensor Integration: Utilized photoresistors for line detection and ultrasonic sensors for obstacle avoidance.
  • Advanced Control: Implemented a PID controller for smooth, stable tracking and motion.
  • Remote Control: Integrated a Bluetooth module allowing for manual remote-control overrides.
C/C++STM32PID ControlBluetooth