Maria Celeste Negron

Built an AI-assisted regression tool using Python, Streamlit, and SQLite to automate failed-test tracking and progress reporting, significantly reducing manual effort; currently prototyping an AI-assisted workflow using Claude to accelerate debugging and regression analysis. Analyzed production and client-facing SQL stored procedures to identify defects, expand code logic for edge cases, and implement targeted fixes that improved data accuracy and reliability. Updated tax compliance forms to reflect annual regulation changes, ensuring on-time year-end processing across payroll platforms.

Designed and owned the regression testing strategy aligned with Agile Scrum and Kanban release cycles, reducing manual testing effort by 40% and accelerating time-to-market across multiple product lines. Established and enforced engineering best practices, coding standards, and test refactoring guidelines to improve delivery consistency and reduce technical debt. Conducted technical and behavioral interviews, contributing to the hiring of 20+ engineers and supporting team expansion; received two UKG Silver Awards for process improvements and critical regulatory releases.

Developed functional and non-functional test plans covering usability, performance, security, and accessibility to ensure comprehensive coverage across compliance solutions and UI/UX updates. Formulated test strategies and team-wide testing checklists for tax calculations, payroll rules, and form validations; applied Boundary Value Analysis, Equivalence Class Partitioning, and Decision Table techniques to improve edge-case coverage. Proactively monitored, debugged, and resolved CI/CD pipeline failures, maintaining 100% successful build runs across integration and UI automation during releases.