Summary
Jeff Harrison is an operations engineer and AI specialist with 11 years in tech, blending hands-on ML/AI work with cloud operations and team leadership. He has applied Reinforcement Learning from Human Feedback to improve LLM behavior and designed prompts to train AI coding assistants, while evaluating models on Python data analysis and visualization tasks. At Microsoft he led support for Azure Machine Learning, troubleshooting model performance and guiding deployments on Azure Kubernetes Service, sharpening his ability to bridge research and production. His academic background in physics and physical chemistry underpins a data-driven approach—he published materials science research and built software for atomic force microscopy analysis. Now based in Seattle, Jeff combines practical cloud engineering with research-grade experimentation to accelerate AI quality and operational reliability.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Science (B.S.) Physics, Bachelor of Science (B.S.) Physics at University of Washington