Summary
Jonathan Branam is a Lead Machine Learning Engineer and manager with 17 years of experience building production ML systems and shipping data-driven features for customer-facing financial products. He combines deep software engineering roots with applied data science, guiding teams through experimentation, deployment, and long-term maintenance on platforms like AWS SageMaker, EMR, DynamoDB, S3, and Athena. At Capital One he leads ML initiatives that directly improve financial product outcomes, and previously delivered precision-health and marketing ML capabilities at LifeOmic and Sigstr. He also teaches practical mobile app development, bringing hands-on mentoring experience from an adjunct instructor role at Ball State University. Jonathan’s background spans full-stack architecture, productionization of models, and migrating analytics to near real-time data lakes—skills that help bridge research and reliable operations. Based in Muncie, Indiana, he pairs a MS in Data Science with a software-first mindset cultivated across startups and large enterprises.
18 years of coding experience
19 years of employment as a software developer
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Indiana University Bloomington
BA, English, BA, English at Ball State University
English, Chinese