Nada KHIARI

Led QA research for sensor-based systems using AI calibration and predictive models, improving experimental consistency and ensuring accurate signal processing. Designed and tested custom validation protocols, boosting data quality and enabling reproducibility across multiple environmental conditions. Acted as Scrum facilitator in a cross-functional research team, driving sprint planning and backlog grooming to align QA research tasks with project milestones.

Automated QA workflows using Selenium and Python, improving test coverage and reducing manual effort by 60%. Managed and prioritized the QA backlog, led defect triaging, sprint reviews, and coordinated cross-functional communication between development and testing teams. Owned the product quality roadmap and implemented Jira-based bug tracking systems, reducing issue resolution time and increasing release reliability.

Represented the student body (2000+) in official academic councils and played an active role in institutional decision-making and quality improvement. Led campus-wide surveys, collected and analyzed student feedback, and proposed reforms based on data insights to improve learning conditions. Assisted the Dean with research, event management, and logistical coordination of more than 10 events involving 300–1500 attendees.