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 the School of engineering and Columbia Business School: I aspire to continue to develop both my “hard-skills” of Science and Engineering and to drive business impact.

I have worked in technology for over a decade, and in Healthcare & Life Sciences for more than 8 years: I joined a medical device company and started putting AI into clinical products, both for clinical decision support systems as well as for smart hospitals. I’ve been in healthcare AI since, working on Data Science and MLOps projects while at AWS Professional Services, leading a GenAI practice at TensorIoT, 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 🇪🇸

I am currently based in New York City.

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SA Professional SA Associate Gen AI Developer Machine Learning Specialty Developer Associate

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Last updated May 2026