Summary
Sungbum Park is an associate solutions architect at AWS with eight years of experience building production AI and data systems across finance, insurance, and healthcare domains. He holds a Master’s in Statistics from Columbia and a BBA in Finance from Emory, combining quantitative rigor with commercial insight. Previously he led software and DevOps teams at SK, delivering ML-driven fraud and mis-selling detection, and at QuantaMatrix he engineered image-classification pipelines and Spark-based automation for model training on embedded devices. Comfortable moving between research-grade models and scalable cloud deployments, he focuses on operationalizing ML while keeping reliability and auditability front and center. Based in the New York metro area, he brings a pragmatic all-rounder mindset—equally fluent in algorithms, data engineering, and production architecture. Colleagues describe him as a results-oriented problem solver who surfaces business impact from complex technical projects.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Business Administration - BBA, Finance, 3.4, Bachelor of Business Administration - BBA, Finance, 3.4 at Emory University - Goizueta Business School
Master's degree, Statistics, 3.4, Master's degree, Statistics, 3.4 at Columbia University in the City of New York