Results-driven professional with expertise in industrial automation, combined industrial and academic research for innovations & development, planned maintenance, and electrical design/troubleshooting. Skilled in root cause analysis, SAP systems, and creating detailed drawings to support operational efficiency. Demonstrates a proactive approach to problem-solving and excels in optimising processes through innovative solutions. Committed to leveraging technical skills and analytical capabilities to drive continuous improvement in industrial operations.
1. Implemented a control strategy for predicting energy consumption management in a food and beverage industry using regression analysis, programmable logic control (PLC) and fuzzy logic control (FLC) systems with a 99.83% efficiency in energy optimization.
2. Mitigation of detected Hotspots on Electrical Components and equipment through the use Image Thermography and an adaptive neuro-fuzzy inference system (ANFIS), through implemented planned maintenance and action for consequence developed reports which reduces the risk of fire in the industry.
The application of integrated control techniques for energy optimisation enhances system efficiency, supports national decarbonisation objectives, and contributes to economic growth through cost reduction and innovation in low-carbon technologies. On the other hand, mitigating hotspots in residential and industrial systems is essential for reducing fire-related incidents thereby protecting lives, minimising property damage, and reducing operational disruptions and delivers economic benefits with low insurance costs, minimised emergency response expenditures, and strengthen investor confidence in the UK’s resilient infrastructure.