With over six years of experience as a scientific researcher, I have expertise in machine learning, algorithm development, theoretical neuroscience, and computational biology. I have contributed to several cross-disciplinary projects, including formulating novel learning algorithms for spiking neural networks (SNNs), applied computer vision using SNNs, event-based computing on neuromorphic devices, and automated healthcare diagnostics.Currently, I am a Research Fellow in AI at the University of Surrey, where I apply natural language processing and large language models to automate data extraction from the scientific literature for systematic review work. The objective of my research is to accelerate the process of literature analysis to address novel research questions in the areas of healthcare and disease transmission. I am passionate about artificial intelligence and applying it to solve real-world problems. I am proficient in Python and software development, and follow best practices and coding standards. I am self-motivated, independent, and eager to learn new skills and tackle new challenges.