I’m Alan Huynh, an ML and software engineer based in Australia, focused on building production-grade AI systems—from computer vision and time-series forecasting to physics-informed neural networks and geospatial analytics. Over the past few years I’ve worked across energy, environmental modelling, and satellite/remote-sensing applications, often combining rigorous ML experimentation with practical engineering for deployment on real infrastructure. Recently I’ve been building AI products and platforms end-to-end, including an AI subtitling system with multi-agent quality control and human-in-the-loop review, and an automated AEMO NEM trading system using mathematical optimisation. I also enjoy bridging research and engineering: for example, adapting vision models for robust real-world performance, optimizing inference for edge devices (including TensorRT/Jetson), and shipping reliable pipelines with Docker, AWS, CI/CD, and automated testing.…I’m Alan Huynh, an ML and software engineer based in Australia, focused on building production-grade AI systems—from computer vision and time-series forecasting to physics-informed neural networks and geospatial analytics. Over the past few years I’ve worked across energy, environmental modelling, and satellite/remote-sensing applications, often combining rigorous ML experimentation with practical engineering for deployment on real infrastructure. Recently I’ve been building AI products and platforms end-to-end, including an AI subtitling system with multi-agent quality control and human-in-the-loop review, and an automated AEMO NEM trading system using mathematical optimisation. I also enjoy bridging research and engineering: for example, adapting vision models for robust real-world performance, optimizing inference for edge devices (including TensorRT/Jetson), and shipping reliable pipelines with Docker, AWS, CI/CD, and automated testing.WWWW…