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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.…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.

Jinglong Duan

Full Stack Developer, AI Engineer, Data Scientist, +2

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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.…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.

Available to hire

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.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Software Engineer at LoyAI, New Zealand

September 1, 2025 - Present

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.

Teaching Assistant at Auckland University of Technology

March 1, 2024 - Present

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.

Research Assistant at Auckland University of Technology

August 1, 2023 - February 1, 2024

Conducted research on misinformation detection, focusing on developing novel detection models using deep learning techniques.

Full Stack Developer at JR Academy

April 1, 2021 - July 1, 2021

Collaborated in an Agile development team to build and maintain enterprise portal features using React.js and Node.js; implemented responsive UI components and RESTful APIs; practiced cross-functional collaboration with UI/UX and DevOps teams to deliver high-quality code.