Nina Cetrone

Led up to 12 engineers across three teams in Workday's Student Financial Aid and Student Financials organizations, partnering across Product, QA, technical leadership, Support, and engineering leadership on delivery, technical execution, production operations, and talent development. Spearheaded AI-assisted engineering transformation, developing an AI-driven software development lifecycle (AI-DLC)

Developed mission-critical enterprise Compensation and Financial Aid systems, progressing into a hands-on technical lead role while continuing to design, implement, test, and support production software. Architected and developed an event-driven compensation calculation framework supporting 1,000+ enterprise customers and impacting 1M+ workers.

Developed a TCL based GUI for network testing that visualized device links and ports, helping engineers coordinate concurrent tests and reduce resource conflicts.

Professional Certificate in Machine Learning and Artificial Intelligence from UC Berkeley, expected completion in March 2026.

B.S. in Genetics and Genomics from the University of California, Davis, from 2010 to 2015.

B.S. in Computer Science and B.S. in Genetics and Genomics from the University of California, Davis, from 2010 to 2015.