Summary
Chance Robinson is a Sr. Generative AI Engineer based in Los Angeles with 10 years of experience building production-grade AI and enterprise systems. He has a strong track record at Cedars-Sinai, evolving from Technology Architect—where he delivered identity verification, de-duplication engines, and RAG-powered AI search—to leading generative AI initiatives now in production. Trained with an MS in Data Science (ML specialization), he combines classical PL/SQL and integration expertise with modern ML workflows to bridge legacy enterprise platforms and cutting-edge retrieval/LLM solutions. Known for pragmatic, security-conscious designs, Chance has repeatedly turned complex institutional requirements into auditable, high-impact systems that reduce risk and duplicate work. He brings both hands-on implementation skills and architectural vision, making him effective at moving AI projects from proof-of-concept to scalable, mission-critical deployments.
10 years of coding experience
19 years of employment as a software developer
Bachelor of Business Administration Management Information Systems, Bachelor of Business Administration Management Information Systems at Texas McCombs School of Business
Master of Science Data Science with specialization in Machine Learning, Master of Science Data Science with specialization in Machine Learning at Southern Methodist University
Japanese