Peter Sugimura is a data scientist with 10 years of experience building production ML systems that span fintech, renewable energy, and climate research. He was the first data hire at Tala where he built the initial credit and fraud models that achieved single-digit default rates and helped the company scale from Seed to Series C, and later led data initiatives across teams of 25+ data scientists at Gusto. Currently based in Los Angeles, he focuses on risk and compliance for a stablecoin-powered payments platform, combining domain expertise in credit, fraud, and trust & safety with hands-on ML infrastructure work. His background in physics-based modeling and oceanography gives him a rare ability to translate noisy physical measurements into robust models—a skill he applied earlier in solar energy R&D and optics modeling. Colleagues rely on him for both technical mentorship and for representing data teams in high-stakes settings like board and due-diligence meetings.
10 years of coding experience
16 years of employment as a software developer
B.S., Mechanical Engineering, Physics (minor), B.S., Mechanical Engineering, Physics (minor) at University of California, Berkeley
M.S., Physical Oceanography, M.S., Physical Oceanography at Massachusetts Institute of Technology
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