About Me

Hello and welcome! I’m a Machine Learning Research Engineer with 9+ years translating AI research into production clinical systems — including three deployed ophthalmic AI applications on the Heidelberg Engineering AppWay ecosystem and a label-free retinal segmentation system live on UPMC MyApps and actively used by clinicians across the health network. My work spans computer vision, multimodal deep learning, and molecular generative modeling, backed by peer-reviewed publications, 25+ ARVO poster contributions, and session moderation at the Retina in AI track.

For nearly a decade, I have immersed myself in the world of Artificial Intelligence — working with both structured and unstructured data, across academia and industry. I have always embraced opportunities to learn, grow, and contribute, believing that every challenge is a chance to sharpen my skills and make a difference. I find myself at the intersection of technology that addresses today’s pressing challenges and science that dares to question and expand the boundaries of human understanding. This dual passion fuels my drive to be both a researcher and a problem-solver, convinced that technological innovation can guide us toward a brighter future.

Why healthcare AI?

I’ve seen firsthand how human error, annotation cost, and infrastructure gaps shape the quality of patient care — especially in lower-resource settings. That’s why a lot of my work has been label-free, deployable, and audit-ready: a Cirrus-OCT segmentation framework that needs no manual annotations and is now live on UPMC MyApps; an AMD referral tool deployed across a 10+ optometrist network in Pennsylvania; and clinical AI built to FDA 21 CFR Part 11 standards. Dr. A.P.J. Abdul Kalam once described providing lightweight prosthetics to children with disabilities — originally designed for space — as one of his proudest achievements. (news article) That kind of redirected technology, in service of people who need it most, is the work I want to keep doing.

Always happy to talk about interesting research, projects, or collaborations — email or LinkedIn is the best way to reach me.