Summary
Chris Messier is a Senior Machine Learning Engineer specializing in search and recommendation systems, with a decade of experience turning complex data into scalable, production-ready AI solutions. He blends deep learning, NLP, and recommender expertise with strong engineering practices (Python, TensorFlow, PySpark, Docker, AWS/GCP) to build fast, reliable tools that help decision makers act at scale. His background spans startups and enterprise—Clarifai, MissionWired, and DICK’S Sporting Goods—where he shipped applied models for vision, retrieval, and user-facing search. Trained in computational economics and experimental design, he brings a rare mix of decision theory and mechanism-design thinking to ML problems, which informs robust evaluation and product-aligned modeling. Known for bridging research and engineering, he focuses on practical, data-driven solutions rather than theoretical novelty.
10 years of coding experience
12 years of employment as a software developer
Certificate, Data Science, Certificate, Data Science at General Assembly
Bachelor of Arts - BA, International Relations, Philosophy, Bachelor of Arts - BA, International Relations, Philosophy at Virginia Commonwealth University
Doctor of Philosophy (On Hold), Economics, Doctor of Philosophy (On Hold), Economics at George Mason University