Summary
Jack Sullivan is a Senior Machine Learning Engineer with 11 years of experience, currently building AI platforms and personalized healthcare applications at Included Health in San Francisco. He holds an M.S. in EECS from UC Berkeley and has a strong background in data science, ML, and data security applied across healthcare, energy, and enterprise analytics. Prior roles include data science and ML engineering at Included Health and internships at Google, Tesla, and EPRI where he shipped clustering, analytics, and risk modeling tools. He combines research-grade technical depth with product-focused delivery, routinely turning complex models into production-ready systems that improve care access and outcomes. Outside work he pairs a statistical CS foundation with an interest in environmental and educational impact, making him inclined toward projects that blend technical rigor with societal benefit.
11 years of coding experience
4 years of employment as a software developer
Master's Degree, Electrical Engineering and Computer Science, Master's Degree, Electrical Engineering and Computer Science at University of California, Berkeley
Los Altos High School