Summary
Elliot Khazon is a Lead Cloud Engineer based in Minneapolis with a decade of professional experience and over 20 years of hands-on work in AI and machine learning. He combines full-lifecycle ML expertise—from data engineering and feature creation to deployment, monitoring, and interpretability—with strong software engineering skills in Java, Python, and cloud-native architectures. Elliot has led cross-functional teams to deliver production NLP solutions for legal document summarization and fraud detection, and has held engineering leadership roles at Thomson Reuters and 3M. Known for translating complex ML research into scalable, auditable systems, he brings a pragmatic focus on observability and model robustness. Surprisingly, despite a long tenure in ML, his public GitHub footprint is minimal, reflecting a preference for proprietary and enterprise-focused engineering work.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at University of Minnesota
English