Jinglong Duan
D. candidate in Artificial Intelligence at AUT, New Zealand, focusing on deep learning, generative AI, and multimodal recommendation systems.
About
I am Jinglong (Jayden) Duan, a Ph.D. candidate in Artificial Intelligence at AUT, New Zealand, focusing on deep learning, generative AI, and multimodal recommendation systems. I am passionate about responsible and fairness‑aware AI, and I enjoy bridging academic research with practical AI applications.
My background spans research and full‑stack development, with hands‑on experience in Python, PyTorch, TensorFlow, React, Node.js, and C#.NET. I thrive in collaborative, agile environments and actively contribute to bot detection, misinformation detection, AI‑generated content identification, and fair multimodal systems.
- 3 years' experience
- Joined January 2026
Industry experience
- Software & Internet
- Computers & Electronics
- Education
- Professional Services
- Media & Entertainment
Work experience· 4 roles
Build the digital loyalty card QR engine with secure HMAC/nonce checks, REST APIs, SQL, Redis caching, RabbitMQ events. Ship PWA dashboards and customer flows (QR scan, rewards) using React + RTK Query, Tailwind, role-based access, and real-time analytics; ensure quality with Jest/Playwright.
Assisted in teaching Java programming concepts including Object-Oriented Programming (OOP), Model-View-Controller (MVC) architecture, and JDBC connectivity to undergraduate students. Conducted weekly tutorial sessions focusing on practical Java application development and provided one-on-one guidance on labs.
Conducted research on misinformation detection, focusing on developing novel detection models using deep learning techniques.
Education
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