Summary
Christopher Ayling is a machine learning engineer with nine years' experience building production-grade AI systems, currently enabling AI platform capabilities at Canva from Brisbane. He has end-to-end expertise spanning custom CUDA, C++, Rust and Python performance work, scalable on-prem/cloud training orchestration, robotics perception and factory deployments, and front-to-back productisation. At Strong Compute he co-designed an "Instant Super Computer" to automate neural network scaling, and at Workr Labs he delivered full-stack robotics solutions without ROS, emphasizing reliability and rapid configurability. He combines hands-on low-level optimisation with practical ML product delivery and a track record of teaching and client-facing model development for trading and automation. Unusually, his background blends deep systems-level coding for training performance with applied computer vision and deployment experience across hardware-constrained environments.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at QUT (Queensland University of Technology)
Japanese