Summary
Anthony Do is a data science specialist with nine years of multidisciplinary experience blending applied mathematics, finance, and full-stack cloud engineering to build production-ready generative AI assistants. At Deloitte he architected and managed backend infrastructure for policy and grant-management AI engines, deploying solutions across AWS and Azure and integrating LLM tooling like LangChain and Anthropic. He pairs rigorous statistical and quantitative training from the University of Utah with hands-on Python, Flask, and frontend work to translate complex requirements into funded, stakeholder-facing demos. Comfortable moving between finance, marketing, and technical roles, he brings a rare combination of client-facing communication (Series 7/63 licensed experience at Fidelity) and deep technical delivery. Outside work he curates a personal portfolio (dosanity.com, github.com/dosanity) that reflects a continuous drive to prototype creative data-driven products.
8 years of coding experience
4 years of employment as a software developer
High School Diploma 4.0 GPA, High School Diploma 4.0 GPA at Taylorsville High School
Honors Bachelor of Science Quantitative Analysis of Markets & Organizations (Finance and Analytics Emphasis), Honors Bachelor of Science Quantitative Analysis of Markets & Organizations (Finance and Analytics Emphasis) at University of Utah - David Eccles School of Business
The University of Utah
Chinese, English