Modern software systems are increasingly complex, making it difficult for testers to identify critical defects quickly and efficiently through traditional exploratory methods. At Deloitte, Kelwyn and his team faced the challenge of scaling exploratory testing to keep pace with rapid development cycles and ever-evolving user expectations. Manual approaches alone struggled to prioritize risk areas and optimize tester focus. To address this, Kelwyn's team integrated AI-driven tools into their exploratory testing process. These tools analyzed historical defect patterns, code changes, and user...
Kelwyn Yung

Kelwyn Yung is a leader in the Quality Engineering practice at Deloitte with a focus on serving clients in the healthcare sector. He is an experienced technology practitioner familiar with leading complex transformations programs facilitated by a focus on strengthening DevOps and Quality Engineering practices. Most recently, he has successfully structured and executed governance and operating models for large modernization programs across multiple health payer clients, helping to reduce organizations’ overall IT spend and transforming IT Ops with AI-first platforms. Kelwyn has previously spoken at PMI’s EMEA Congress 2020 conference, where he presented on AI’s impact on standard PMO practices. He regularly coaches at Deloitte’s premier training facility (Deloitte University in Texas), upskilling Deloitte practitioners in a classroom-style setting.
