Summary
George Dittmar is a Senior AI Scientist in Portland with 12 years of experience building large-scale ML and big data systems, specializing in NLP, information retrieval, and production-grade generative AI. He moves models from research to production, having led Cambia’s first GenAI projects and improved LLM-based QA from roughly 50% to over 90% user-rated accuracy through iterative human-in-the-loop and RAG architectures. Language-agnostic and hands-on across Java, Scala, Python and cloud tooling, he combines backend/API engineering, Spark/EMR optimization, and full-stack ML engineering to deliver maintainable systems at scale. He’s contributed to Apache Spark MLLib and actively leverages LlamaIndex, Langchain, Bedrock and Agent design patterns to build dynamic enterprise AI solutions. Known for cutting costs and improving throughput on EMR clusters, he also automated manual analytics workflows into frequent operational reports, reflecting a pragmatic focus on measurable business impact.
12 years of coding experience
14 years of employment as a software developer
Bachelor of Science Computer Science and Engineering, Bachelor of Science Computer Science and Engineering at University of Washington
Master of Science Computer Science, Master of Science Computer Science at Portland State University