Summary
Dylan Kuo is a data engineer with nine years of experience building production-grade data platforms from 0 to 1 across finance and investment firms. He has a strong track record modernizing trade, accounting, reconciliation, and reporting pipelines at insurers and asset managers, and has delivered measurable efficiency gains such as automated ETL testing and cost reductions. Comfortable across the stack, Dylan combines ML-backed analytics and ETL engineering—having built sentiment-driven stock models and custom data ingestion pipelines—with hands-on tooling in Python and SQL. Based in Boston, he pairs a Master’s in Computer Science (Data Analytics) with practical operations experience—earlier leading emergency response teams—which contributes to his discipline for robust, auditable data systems. Notably, he moves beyond prototypes to operational workflows that improve accessibility and reuse of data for downstream investment decisioning.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Business Administration (BBA) Business Administration, Bachelor of Business Administration (BBA) Business Administration at Yuan-Ze University
Master's degree Computer Science Data Analytics Major, Master's degree Computer Science Data Analytics Major at Boston University
English, Chinese