Summary
Weidong Fang is a senior software and AI engineer based in Adelaide with 7 years of commercial experience building scalable, cloud-native systems that bridge optimisation, data orchestration and production ML. He has led technical teams and shipped infrastructure and AI-enabled features at scale across companies like Redbubble, TilliT and Relume, working with Node.js, Go, Python, React and cloud services on AWS and Google Cloud. His background includes optimisation and scheduling expertise from roles at Daitum and TilliT, and hands-on experience deploying Airflow, BigQuery, and content-moderation models in production. A former PhD candidate in computer science, he combines academic rigour with practical delivery, often tackling complex supply-chain and fulfilment problems with a mix of algorithms and cloud engineering. Notably, he moves comfortably between low-level optimisation work and high-level ML integration, making him effective at turning research-grade ideas into reliable production systems.
6 years of coding experience
15 years of employment as a software developer
PhD Computer science, PhD Computer science at South China University of Technology