Cooper Larhette is a product-focused full-stack engineer with nine years of experience building web UIs, backend services, and AI-driven pipelines from prototype to production. Based in San Francisco, he has shipped features across React/TypeScript frontends, Go and Python backends, and cloud infrastructure (including containerized deployments on AWS ECS). His recent work centers on unlocking LLMs as practical data-processing tools—building benchmarking, RAG pipelines, and CI-like evaluation systems for AI services. Cooper combines hands-on implementation (CSS to Celery/Redis queues and Dagster-driven syncs) with product-minded iteration to find PMF, and he’s comfortable owning end-to-end engineering decisions. A tinkerer at heart, he brings both experimentation and production discipline to teams building next-gen AI features.
9 years of coding experience
2 years of employment as a software developer
Campolindo High School
Bachelor of Science Computer Science, Bachelor of Science Computer Science at Loyola Marymount University
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Cooper Larhette - Member Of Technical Staff at Sutro