Tyler Tarsi is a co-founder of Nomina and a former machine learning engineer and quantitative trader with eight years of experience blending applied math, computer science, and finance. He built and optimized production ML systems at DataProphet, traded quantitatively at Stovell AI Systems, and taught advanced math courses at Harvard, giving him a rare mix of theoretical depth and production rigor. Based in New York, he moves fluidly between founding-stage product strategy and hands-on engineering, often translating complex models into robust, deployable systems. His background in both blockchain business development and institutional software engineering suggests a talent for spotting emerging tech opportunities and turning them into pragmatic ventures.
8 years of coding experience
1 year of employment as a software developer
High School Diploma, High School Diploma at Nazareth Area High School
Applied Mathematics Computer Science and Economics, Applied Mathematics Computer Science and Economics at Harvard University
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