Summary
Cody Mitchell is a Principal Machine Learning Engineer with a PhD in Computational Sciences and a decade of experience delivering production-grade AI systems across government, defense, and commercial sectors. He builds scalable ML and data pipelines—ranging from similarity-detection services with BERT and graph methods to satellite-based computer vision and damage-assessment models—often shipping performant solutions on AWS, OpenShift, and Kafka. Cody has led and mentored cross-functional teams, managed multiple production data-science products, and conducted over 50 interviews while supervising senior engineers. His background spans bioinformatics and health analytics to financial research, giving him a rare blend of domain breadth and rigorous quantitative modeling. Known to “dream in code,” he combines research-grade methods (including semi-supervised and PU learning) with pragmatic engineering that achieves high real-world recall and throughput. Based in Pensacola, FL, he repeatedly turns rapid prototypes into scalable, audited production systems.
10 years of coding experience
8 years of employment as a software developer
Bachelor's degree Chemistry and Economics, Bachelor's degree Chemistry and Economics at Washington & Jefferson College
Doctor of Philosophy - PhD Computational Sciences and Informatics, Doctor of Philosophy - PhD Computational Sciences and Informatics at George Mason University
English