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Kensaus Edo combines computer science studies with practical work in renewable energy systems at Kensa Heat Pumps. Their academic focus encompasses software development and machine learning, with technical proficiency in Python, Java, and C++. Their programming toolkit includes the PyTorch framework for machine learning applications. At Kensa Heat Pumps, they contribute to the development of ground source heating technology through the company's core product lines. Their work spans the Shoebox, Evo, and Q series heat pump systems, which serve residential and commercial installations. The role connects software engineering principles with thermal system design. The intersection of computer science and sustainable technology defines their current trajectory in the field. Their engineering background supports both the computational and mechanical aspects of heat pump development. Their work demonstrates the growing convergence of software systems and renewable energy infrastructure.