Izzam Golamaully
Engineering at University of Nottingham
I’m a recent Electronic and Computer Engineering graduate with a strong focus on software, AI, and data-driven systems. My main interests sit at the intersection of full-stack development, machine learning, and intelligent infrastructure, particularly where software can solve real engineering problems. Through my degree and dissertation, I built an end-to-end solar panel fault detection and predictive maintenance system using computer vision, LSTM models, and Flask APIs, supported by simulation work and cloud integration. I’m actively building skills in Python, machine learning, backend development, and system design, alongside practical experience with tools like OpenCV, YOLO, scikit-learn, SQL, and web technologies. I enjoy working across the full lifecycle of a product, from data collection and modelling to deployment and user-facing dashboards. My ambition is to grow into a software or AI engineer who designs reliable, scalable systems that have real-world impact, especially in areas like energy, infrastructure, and intelligent automation. I’m motivated by challenging technical problems, continuous learning, and contributing to products that turn complex data into meaningful solutions.