I build AI systems for problems that matter.

I'm a Biomedical Engineering M.S.E. graduate from Johns Hopkins, working at the intersection of deep learning and clinical applications. My work spans surgical video analysis, generative medical image synthesis, and AI-assisted screening and risk modeling. I'm drawn to projects that combine technical rigor with real human impact. Currently open to consulting and contract work in the clinical AI space.

Portrait of Niranjani Komethagavel

A little more about me

Why biomedical engineering

I chose biomedical engineering because it sits at the boundary between understanding how the human body works and designing systems that can improve care at scale. Growing up, I became deeply aware of how uneven access to healthcare can be, and that perspective continues to shape the kind of work I’m drawn to.

How I think about systems

My background spans both biomedical sciences and artificial intelligence, and I’m especially interested in how AI can be responsibly integrated into real clinical workflows. I enjoy thinking beyond individual models to the full system: data, constraints, users, and the environment in which a tool is deployed. Much of my work focuses on screening and decision support, particularly in settings where resources are limited and design choices matter.

Outside of work

Outside of research and engineering, I spend my time making art, reading in bursts, playing indie games, and wandering through cities on foot.
You can find my art on Instagram at @seratonini_.
Currently Reading (May 11th, 2026): Replaceable You (Mary Roach), The Dark Forest (Cixin Liu)
Currently Playing (May 23rd, 2026): Disco Elysium