Summary
Noah Jaffe is a data scientist and AI engineer based in San Francisco with nine years of experience applying machine learning and causal methods to drive revenue and operational improvements across retail and enterprise AI products. He has built production-grade LLM systems and RAG architectures—contributing to Walmart’s Sparky chatbot with prompt engineering, multi-agent orchestration, and robust evaluation pipelines—while also shipping generative AI products for startups and media-scale ingestion pipelines. Comfortable across Python, PySpark, SQL, Tableau, and both AWS and GCP, he pairs strong feature-engineering and ETL skills with a pragmatic focus on scalable deployment. Trained as a marine biologist, he brings a research-driven mindset and experimental rigor to messy, real-world data problems.
9 years of coding experience
5 years of employment as a software developer
Master's degree Marine Biology and Biological Oceanography, Master's degree Marine Biology and Biological Oceanography at San Francisco State University
Bachelor of Arts - BA Organismal Biology, Bachelor of Arts - BA Organismal Biology at Pitzer College
High School Diploma, High School Diploma at Tamalpais High School