Richard is a hands-on engineering leader and the CTO at GridDuck, with over a decade of experience delivering complex software, hardware, and data platforms. An MMath graduate from Durham University, he specializes in cloud, IoT, and high-performance data pipelines, leading cross-functional teams to translate strategic goals into scalable, enterprise-ready solutions.
His personal projects reflect a deep interest in advanced technologies, specifically focusing on quantitative trading simulations. He applies machine learning and reinforcement learning techniques to virtual-market data, evaluating outcomes with sophisticated risk/reward metrics. This highlights a passion for data-driven problem-solving outside his primary professional responsibilities.
He architected and delivered an end-to-end cloud and data platform that processes approximately 50 million telemetry points per day.
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