As a Biomedical Engineer with a strong background in Applied Machine Learning, Data Science, AI, E-Health, and Healthcare Research, I enjoy tackling practical challenges and finding innovative solutions that extend beyond the boundaries of a single field. My experience working in both academic and industrial settings has given me a broad range of skills and perspectives that I bring to every project.Currently, as a part of my PhD thesis, I work on AI-based models to optimize Coronary Heart Disease treatments. I use Deep learning and offline Reinforcement Learning methods for this project.I thrive in collaborative environments and have worked with teams spanning a wide range of fields (including Engineering, Health, Agriculture, Business, and more), allowing me to develop strong interdisciplinary skills. I am particularly passionate about applying my expertise to the healthcare industry, where I believe there is significant potential to improve outcomes through the use of cutting-edge technologies and data-driven insights. Additionally, I enjoy modelling complex natural systems and exploring their underlying mechanisms.Whether I am working on a new project, learning about the latest advances in my field, or collaborating with others, I am always motivated by the opportunity to make a meaningful impact.