Summary
Allen Grimm is a founder and data scientist with 12 years of experience turning mathematical abstraction into production-ready ML and decision systems from Portland, Oregon. He builds end-to-end solutions—uplift modeling, reinforcement learning, recommender systems, OCR for ancient scripts, and bespoke search—bridging research, back-end engineering, and cloud operations. At CVS Health he optimized a Python/Spark uplift package to go from six-hour to five-minute training and materially improved model decision functions, while his consultancy Grimm Science has delivered diverse projects for clients including MIT and Coursedog. Comfortable with low-data problems and constrained deployments, he packages complex optimization and constraint solvers as containerized services and integrates them into AWS-based pipelines. He combines deep electrical engineering training with practical software engineering, often inventing hybrid approaches (e.g., semi-supervised linguistic spam filters and word2vec-based keyword mapping) to minimize human labeling. Colleagues count on him to move proofs-of-concept into robust, maintainable systems that measurably improve decisions.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Electrical Engineering, 3.47, Bachelor of Science (B.S.), Electrical Engineering, 3.47 at Gannon University
Master of Science (M.S.), Electrical Engineering, 3.62, Master of Science (M.S.), Electrical Engineering, 3.62 at Portland State University