Sam Inloes is a San Francisco–based founder and software engineer with 11 years of experience building AI-first products, cloud-native infrastructure, and full-stack applications. He has led engineering and product efforts from startups to scaled MLOps systems—authoring feature stores, Kubernetes-native schedulers, and cost-optimized LLM routing that cut inference expenses by over 90%. Equally comfortable in React/JS front-ends and Go/Python back-ends, Sam has shipped dashboard and orchestration work for notable open-source projects like Featureform and built production integrations for EMR, Databricks, AWS and Azure. His current venture applies AI to motion graphics, blending technical depth with creative systems thinking, and his background includes founding multiple startups and leading cross-functional teams. Notably, he combines hands-on optimization (backend performance, embedding routers) with product-facing UX work, making complex ML infrastructure accessible to end users.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Michigan
Computer Science, Computer Science at Columbia University
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Role in this project:
Back-end & Front-end Developer
Contributions:443 reviews, 1187 commits, 281 PRs in 1 year 3 months
Contributions summary:Sam made significant contributions to the project's dashboard, focusing on the implementation of metrics pages and elements. Their work included modifying and updating UI components using JavaScript and potentially related frameworks. They also modified the backend code to improve performance.
Contributions:8 pushes, 1 branch in 3 years 4 months
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