Mark Sinclair is an Artificial Intelligence Engineer at Empower Energy (Sydney), where he develops advanced AI and machine learning models to optimise home battery systems. His work focuses on intelligent energy-management solutions that reduce electricity costs, increase renewable exports during peak periods, and support a more sustainable grid. At Empower Energy, he leads the design and deployment of AI-driven forecasting and optimisation algorithms for the company’s next-generation battery platform, integrating predictive analytics, reinforcement learning, and transformer-based models. Mark is also completing a PhD in Artificial Intelligence at the University of New England, researching modern transformer architectures to improve electricity price forecasting during extreme events. His work bridges academic innovation with real-world energy challenges, combining data science, applied mathematics, and energy economics. He previously earned a Master of Data Science (UNE), a Bachelor of Engineering (Hons., Electrical) from the University of Sydney, and both a Master of Engineering Management and an MBA (Finance) from the University of Technology Sydney. Mark’s earlier career includes roles as Regional Director at WatchGuard Technologies and Tech Leader at Oracle, along with nearly a decade as a software engineer and independent consultant. His expertise spans deep learning, time-series forecasting, transformer architectures, statistical modelling, and AI for energy systems.