María Duque

Performs AI data and content quality tasks following project-specific guidelines, including review and evaluation of AI-generated and localized content across text, audio, video, and visual outputs. Assesses quality issues and supports data quality through accurate labeling and validation.

Provides remote QA and AI quality services for software and AI-powered products, including exploratory, functional, and usability testing of web and mobile applications. Evaluates AI-generated content and creates structured QA reports with defect details and recommendations.

Led and supervised QA teams to ensure quality of applications and software systems. Planned and executed test strategies, implemented Agile practices, managed defects using Jira and Mantis, and developed quality indicators to measure testing effectiveness.

Coordinated application testing and certification with multidisciplinary teams. Prepared test plans based on user stories and client requirements, participated in backlog management and sprint reviews, and supervised manual and automated testing activities.

Designed and improved operational processes to optimize efficiency and project delivery quality. Established standards and best practices for software development, collaborated on data-source definition and integration, and applied BPM methodologies to align processes with strategic objectives.

Currently pursuing the Machine Learning Specialization.

Completed AI-Assisted Test Automation training in 2026.

Completed AI Vibe Coding & Automations training in 2026.

Bachelor's Degree in Administration with a focus on Information Technology.

Systems Analyst degree from Universidad Centroccidental Lisandro Alvarado.

Completed BPM & Requirements Engineering training in 2016.