I am a passionate chemical engineer focused on leveraging AI and data-driven techniques to enhance process optimization in industrial settings. With experience in machine learning, process monitoring, and modeling, I aim to push the boundaries of efficiency and innovation in chemical and process engineering.Through my roles as a Research Assistant and Teaching Assistant at Memorial University, I’ve honed my skills in process data analytics, abnormal situation management, and process equipment design. My journey has allowed me to develop technical expertise in tools like Python, MATLAB, and Aspen HYSYS, alongside deepening my understanding of data-driven modelling optimization. I am driven by a commitment to creatively solve complex engineering challenges while continually advancing my technical abilities.Let’s connect if you’re interested in discussing process optimization, AI in engineering, or potential collaborations within the chemical and bioprocessing industries.