Summary
Cooper Raterink is an AI engineer with a decade of experience building language-centric products, currently shaping AI Search, Mail, Calendar agents and Slack integrations at Notion. He combines deep research grounding from a Stanford MS in CS/AI with hands-on ML engineering at startups like Hebbia and Cohere, where he led safety evaluation work and contributed to early RLHF-adjacent research. Cooper has bridged academia and industry—teaching CS at Stanford and working on election misinformation and AI's labor impacts—bringing a human-centered perspective to technical systems. Based in New York, he’s focused on practical language understanding and developer-facing AI, and has a quiet specialty in turning safety and evaluation frameworks into production-ready components.
10 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Electrical and Electronics Engineering, Bachelor’s Degree, Electrical and Electronics Engineering at The University of Texas at Austin
Master's degree, Computer Science / AI, Master's degree, Computer Science / AI at Stanford University
java, c#, c, c++, ruby, python, angularjs, javascript, html, css, sql, assembly, matlab