Pan Ze Wen
Hi, I’m Pan Ze Wen. I’m a Hong Kong–based embedded systems researcher and data scientist with a strong background in IoT, real-time systems, and applied ML.
About
Hi, I’m Pan Ze Wen. I’m a Hong Kong–based embedded systems researcher and data scientist with a strong background in IoT, real-time systems, and applied ML. I’m currently pursuing an MPhil in Computer Science at The Hong Kong Polytechnic University with a full scholarship, after earning a BSc in Computer Science with top 10% of my class. My experience spans embedded firmware (STM32/ESP32), UWB-based positioning, and data-cleaning pipelines in Python.
I enjoy bridging hardware, software, and data to deliver practical, impactful solutions. I’m fluent in Python, C/C++, and JavaScript, comfortable with Flask, RESTful APIs, and cloud/container tools, and excited to contribute to innovative software and AI systems.
- 4 years' experience
- Joined October 2025
Industry experience
- Software & Internet
- Education
- Manufacturing
- Professional Services
- Media & Entertainment
Work experience
Developed an indoor 3D positioning system based on Ultra-Wideband (UWB) technology. (GitHub)
Led the product development of embedded firmware with STM32/ESP32 for IoT smart LED strip. Implemented real-time control systems for Wi-Fi/BLE wireless communication modules and designed communication protocols for mobile applications.
Cleaned and formatted over 400,000 user behavior records using Python (Pandas, NumPy); Developed automated pipeline programs for the research group for statistical analysis.
Education
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