When I first saw a fetal echocardiogram during a research internship, I didn’t just see a scan, I saw possibility. On the screen was a grainy, grayscale image of a baby’s heart, fluttering with life. But what captivated me wasn’t just the medical imaging itself, it was the algorithm analyzing it. A machine learning model was identifying potential congenital heart defects before birth, giving doctors a chance to intervene early and save lives. In that moment, I realized technology could do far more than power devices or automate routines, it could protect something as fragile and profound as a heartbeat. Fetal echocardiography is not a new technology, but combining it with artificial intelligence represents a shift in how we approach care: proactive, precise, and deeply human-centered. As someone who grew up fascinated by both robotics and healthcare, and who watched a parent struggle with heart complications post-COVID, this intersection felt incredibly personal. It showed me that engineering doesn’t have to choose between logic and empathy. It can hold both. That’s what inspires me: the idea that technology can extend not just capability, but compassion. For that matter, the advancement of prenatal and fetal care technology are a testament to what humanity can create when we choose to serve rather than simply build. This experience has shaped the kind of engineer I want to become. I don’t just want to design machines, I want to solve problems that matter. I want to build tools that make healthcare more accessible, more intelligent, and more humane. Fetal echocardiography, enhanced by AI, showed me that even the most delicate lives can be safeguarded by the thoughtful application of science and compassion. That’s the kind of impact I hope to make, one heartbeat at a time.