Steven is an AI Architect at TAU Intelligence, where he leads the design of scalable AI and machine learning systems and bridges business development with real-world product implementation. He brings deep expertise in Computer Vision, Large Language Models, and MLOps, with a strong track record of deploying end-to-end AI solutions in production environments.

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He holds a Doctor of Philosophy in Computer Science from the National University of Singapore, where his research focused on visual misinformation detection — developing Transformer-based architectures for real-time detection of repurposed images and AI-synthesized multimedia content on social media platforms.

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Qualifications

• Ph.D. in Computer Science, National University of Singapore; research in visual misinformation detection and adversarial image analysis.
• B.Eng. (First Class Honours) in Mechanical Engineering, Nanyang Technological University; recipient of the DSO SOAR Award and Molex Internship Scholarship.
Formerly Research Staff at NUS Centre for Trusted Internet and Community, delivering MLOps systems on AWS/MLflow.
• Formerly Senior Member of Technical Staff at DSO National Laboratories; recipient of the DSO Team Award for outstanding technical contributions.
Published in CVPR and IJCAI — covering image copy detection, AI-generated image disinformation, and fake news detection.Specialist in PyTorch, LLMOps, Computer Vision, AWS, Docker, and full-stack AI Harness Engineering.

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