Software Quality Engineering with AI Applications

Software quality assurance (SQA) is evolving rapidly with the integration of artificial intelligence (AI) and machine learning (ML). In this session, I will share my expertise in building AI-powered platforms that automate key aspects of software quality engineering, including:

• AI-driven test case generation
• Defect prediction and root cause analysis
• Intelligent log analysis and anomaly detection
• Self-healing test automation frameworks

With multiple copyrights and international publications in this area, I can help you understand how to apply AI techniques to improve software quality processes, reduce manual effort, and predict defects before release.

This session is ideal for QA engineers, automation developers, software architects, and engineering managers who want to leverage AI to modernize their QA processes.

All sessions are free, offered out of passion to mentor and share knowledge.