Ibrahim Ahmed is a Co-Founder and CTO with a decade of experience building and scaling AI-first products and cloud-native infrastructure from startups to Fortune 500 deployments. Based in San Francisco, he leads inference.net where his team trains and serves task-specialized models that can rival or augment frontier models like GPT-5 and Claude 4, delivering 99.99% uptime and high token-per-second performance across private, on-prem, and hybrid clouds. He has a strong track record of founding and growing developer-focused AI services—previous startups reached 100k+ users or 120k+ API users—and brings hands-on expertise in production Kubernetes, GitOps, and high-throughput inference stacks. With an MS in Computer Science focused on AI/ML and a background in research and teaching, he combines academic rigor with practical systems engineering. Notably, he emphasizes replacing lossy embedding RAG pipelines with compact, specialized models through his "Savant" approach, reflecting a pragmatic, efficiency-driven view of model deployment.
10 years of coding experience
8 years of employment as a software developer
High School, High School at Edsel Ford High School
Master's Degree Computer Science - AI & Machine Learning Focus, Master's Degree Computer Science - AI & Machine Learning Focus at Michigan State University
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