Ghita Layile

Professional Engineer (OIQ) with over 4 years of experience in Software Quality Assurance, product validation, technical investigation, and quality engineering. Proven expertise in feature validation, regression testing, API testing, troubleshooting, root cause analysis, SQL data validation, and release readiness. Experienced collaborating with cross-functional teams to identify quality risks, improve testing processes, and deliver reliable software in Agile environments.

Software Quality Assurance Analyst at Isaac Instruments (2022-09 – Present)

• Design and execute functional, exploratory, and regression tests for web, mobile, and backend applications.
• Validate software fixes across representative environments using virtual machines and replicated customer databases.
• Investigate customer-reported issues by reproducing defects, analyzing logs, SQL data, and API responses to identify root causes.
• Contribute to Playwright automation development using TypeScript and GitHub Copilot while helping establish automation best practices.
• Leverage AI tools to accelerate automation development, generate test scenarios, troubleshoot failures, and improve testing efficiency.
• Collaborate closely with Product, Support, and Development teams to bring a customer perspective into feature validation, leveraging insights from client-reported issues to identify risks, edge cases, and quality gaps early in the development process.
• Validate new features and workflows prior to release, ensuring functionality, usability, and quality expectations are met.
• Participate in Shift Left initiatives by reviewing new features with developers to identify edge cases and improve quality during design.
• Contribute to the evolution of the regression testing strategy by identifying critical production scenarios for automation.
• Mentor new QA analysts by sharing QA processes, troubleshooting techniques, and product knowledge, serving as a technical resource for complex investigations.

Technical Analyst at Isaac Instruments (2020-10 – 2022-08)

• Investigated complex technical incidents escalated by support teams.
• Performed technical diagnostics and root cause investigations.
• Collaborated with software development and QA team.

Research Internship at Jalon MTL (2018-01 – 2020-08)

Research Project: Obstacle Detection and Sensor Performance Evaluation for Intelligent Vehicles

• Evaluated the performance of detection sensors used to identify road users under various testing scenarios.
• Conducted accident analysis to define dynamic validation scenarios and selected sensors through comparative performance studies.
• Designed and executed experimental test protocols to collect time, speed, and location data.
• Transformed unstructured video data into structured datasets through manual annotation.
• Extracted, cleaned, and analyzed data using Python, Pandas, and NumPy.
• Developed predictive models to evaluate sensor performance, achieving 85.5% recall for LiDAR-based obstacle detection.

Master of Science in Industrial Engineering – Polytechnique Montreal (2020)

Bachelor Degree in Electromechanical Engineering – ENSAM Meknes (2015)