Vineet Kumar
Vineet Kumar
Manager Quality Engineering
Publicis Sapient
Vineet has over 15 years of experience in applying software quality best practices and processes to test automation framework design and development, testing process simplification, and institutionalizing a culture of continuous improvement. He is currently working as a Quality Engineering (QE) Manager at Publicis Sapient in Canada. He has over a decade of experience in delivering high-impact automation solutions in numerous domain spaces, including BFSI, Retail, and Healthcare.
Vineet enjoys experimenting with various AI models to implement them properly in automation frameworks, leading to smarter tests, faster execution, and higher levels of accuracy. He is constantly benchmarking various models and shortlists those that deliver the most accurate and consistent results for various test conditions.
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Given the swift advancement of AI-powered testing, the integration of Large Language Models (LLMs) into automation frameworks has changed from being experimental to a game-changer.
This conference intends to target those who are interested in understanding the concept of AI’s ability to help with advancing test automation and the addition of AI as a new member of the test team. How AI is not a tool but your new test team member – working smarter, faster, and better with you.
You will learn
- Ways to integrate current automation frameworks with various popular LLM models and evaluate their accuracy relative to other models.
- AI can be harnessed for Dynamic Locator Generation, test data creation, and a concept known as Self-Healing automation scripts
- Enhancement of productivity due to rapid test development and execution with AI
- Smart Test Executions and workflow in Git Lab
- AI Limitations and Continuous Learning
Through a live demo, you’ll see real-world examples illustrating both the power and challenges of such integrations