Summary
Sam Larson is a Data Engineer in New York with nine years of experience building data-heavy backends, statistical models, and dimensionality-reduction pipelines for finance and research environments. He’s worked across equities research and cloud infrastructure teams, moving from cloud-focused roles at athenahealth to data engineering and analytics at YipitData and now Anomaly Capital Management. Comfortable in AWS and Kubernetes, he specializes in turning noisy financial and research data into reliable, production-ready systems. With a dual background in computer science and economics from Emory, he combines quantitative intuition with pragmatic engineering. A detail that often surprises colleagues: he pairs research-grade modeling experience with hands-on infra work, bridging the gap between prototypes and scalable pipelines.
9 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Computer Science Economics, Bachelor's Degree Computer Science Economics at Emory University