Ryan Hammang

Ryan Hammang is a Lead Machine Learning Engineer at Aimpoint Digital with experience delivering machine learning, data engineering, and analytics solutions for enterprise clients across a wide range of industries. He is passionate about helping organizations turn complex data into practical systems that improve decision-making and create measurable business value.

Ryan’s work focuses on predictive modeling, analytics enablement, and analytic automation, with deep hands-on experience in machine learning infrastructure, feature engineering, MLOps, and modern data platforms. He has led consulting engagements involving Databricks modernization, lakehouse architecture, governance, and production AI systems, and is especially skilled at bridging the gap between business goals and scalable technical implementation.

Before joining Aimpoint Digital, Ryan worked in consulting and engineering roles at Slalom and Capgemini. Earlier in his career, he held industry roles at The Boeing Company in industrial engineering and at J.P. Morgan Chase in institutional finance. His research and future engineering aspirations connect information theory to human cognition, exploring why some ideas transmit efficiently while valuable "anti-memes" resist propagation, with implications for how organizations capture and transfer complex knowledge.

Ryan holds a B.S. in Electrical Engineering and a B.S. in Economics from Montana State University, along with an M.S. in Finance from Seattle University. He also holds several software partner certifications, including OpenAI AI Technical Practitioner, Databricks Platform Administrator for Azure and AWS, and Databricks Solution Architect Champion.

Focus Areas at Aimpoint: Analytics Strategy & Enablement, Predictive Modeling, Analytics Enablement, Analytic Automation, AI/ML Engineering, MLOps, and GenAI/LLM Implementation.