Building AI for Healthcare & Life Sciences

I design production AI systems that improve patient care and help teams ship at enterprise scale.

I’m a Senior AI Solutions Architect at AWS, working with healthcare providers, pharma, MedTech, and payers on the Global Healthcare & Life Sciences team. My job is part engineering, part strategy: figuring out where AI actually moves the needle in healthcare, then building it.

I started in applied mathematics and material sciences, and it turns out that learning to model physical systems is a great foundation for modern AI. I later got a M.S. in Management Science & Engineering, a joint program between an engineering school and a business school - half optimization and analytics, half strategy. That combination shaped how I work: I think in models, but I make decisions in business terms.

I broke into tech through consulting, but what I actually wanted was to build things with real impact. So I joined a medical device company and started putting AI into clinical products: one of the projects led to a US patent. I’ve been in healthcare AI since, delivering ML platforms at AWS Professional Services, leading a GenAI practice at an AWS partner, and now shaping AI strategy for some of the largest life sciences organizations in the world as part of the AWS Healthcare & Life Sciences team.

I speak English 🇺🇸, German 🇩🇪, French 🇫🇷, and Spanish 🇪🇸

Based in New York City.

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SA Professional SA Associate Machine Learning Specialty Developer Associate

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Last updated May 2026