I'm a medical student with a passion for building digital tools that make a difference. My journey bridges three worlds: the analytical precision of pharmaceutical chemistry, the empathy and problem-solving required in medicine, and the creativity and utility of software development.

I believe that technology, when thoughtfully designed, can enhance human capabilities rather than replace them. My work focuses on creating tools that help medical students learn more effectively, and for planners to organise more efficiently. I hope to engage more closely with the NHS to develop tools and conduct research that benefits patient care and empowers clinicians.

With deep proficiency in AI tools and a solid understanding of AI systems architecture, I bring a unique perspective to medical AI research. I actively work with large language models, machine learning frameworks, and AI-assisted development workflows—bridging the gap between cutting-edge AI capabilities and real-world clinical applications. I'm particularly interested in collaborating on research that explores how AI can augment clinical decision-making, streamline healthcare workflows, and ultimately improve patient outcomes.