Rajiv Shah is an Agentic AI Engineer with 12 years of experience translating research-grade AI into customer-facing products and repeatable enterprise value. He’s spent the last several years on founding GTM teams at high-growth AI companies (Hugging Face, Snorkel, DataRobot, Snowflake, Contextual AI) where he combines technical pre-sales, product storytelling, and enablement to drive ARR and adoption. A trained social scientist and former adjunct professor, Rajiv has led NSF-funded research, authored publications and patents, and applied deep learning to real-world problems from supply chains to motion-tracking sports analytics. He excels in zero-to-one situations—building trust with technical buyers, simplifying complex tools for adoption, and aligning teams on measurable value. Outside of GTM, he’s a prolific speaker and public communicator (@rajistics) who blends legal, academic, and engineering perspectives to make practical AI accessible. Based in Illinois, he brings a rare mix of field-tested engineering, policy-informed research, and go-to-market rigor.
12 years of coding experience
20 years of employment as a software developer
Fellow, National Center for Digital Government, Fellow, National Center for Digital Government at Harvard Kennedy School
J.D., Intellectual Property Law, J.D., Intellectual Property Law at University of Illinois College of Law
B.S., Electrical Engineering, B.S., Electrical Engineering at University of Nebraska-Lincoln
Ph.D., Communications, Ph.D., Communications at University of Illinois Urbana-Champaign
Contributions:37 commits, 31 pushes, 1 branch in 1 year 5 months
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