Summary
Gary Liang is an AI-focused full-stack engineer with 11 years of experience building web, IoT and reinforcement learning systems across academia, startups and consulting. He combines modern front-end stacks (React, Vue, React Native) and backend APIs (Node, PHP/Zend, GraphQL/REST) with hands-on cloud and IoT deployments on AWS and MQTT, having delivered high-traffic university portals, retail platforms and a UK thermostat contract. Lately he’s been driving research-grade RL and robotics projects—vision-based PPO for Street Fighter II, large-scale simulated Franka Panda manipulation, and a grokking-style transformer study—showing both production pragmatism and deep experimental rigor. Comfortable shipping product features in small teams and scaling distributed training on GPUs, he brings a rare mix of full-stack delivery experience and advanced ML research. Based in Greater Melbourne, he’s actively looking for opportunities to apply RL/robotics and cloud-native engineering to real-world products.
11 years of coding experience
9 years of employment as a software developer
The University of Melbourne