Stream: Virtual Room 1
Time: 15:00 - 15:45
Many organizations continue to depend on large, complex monolithic applications that are difficult to scale, evolve, and understand. While migrating to microservices is often necessary, the process is frequently perceived as high-risk, requiring deep domain expertise, extensive documentation, and significant time from already constrained teams. This session demonstrates how AI-powered tools can simplify and accelerate the transition from monoliths to microservices. Attendees will see how AI can analyze legacy codebases, identify hidden dependencies, highlight natural service boundaries, and surface architectural insights that traditionally demand substantial manual effort. The session also emphasizes a key additional benefit of AI: enabling teams to better understand and explore the application during the transformation itself. By acting as an interactive guide—explaining code paths, summarizing business logic, and answering architectural questions—AI helps reduce reliance on tribal knowledge and enables teams to make informed modernization decisions more quickly.
I am a Solution Architect with 25+ years of experience designing and delivering large-scale, mission-critical enterprise systems across industries. My career has been centered on translating complex business challenges into secure, scalable, and future-ready technology solutions. I bring deep expertise in enterprise application architecture, cloud-native platforms, AI/ML systems, and Large Language Models (LLMs). I work hands-on with modern AI stacks—integrating LLMs, data platforms, and intelligent automation into real-world enterprise workflows to drive measurable business outcomes. A significant focus of my work is application modernization—transforming legacy systems into cloud-native, microservices-based, and AI-enabled architectures while improving performance, resilience, and cost efficiency. I have led modernization initiatives spanning monolith decomposition, API-first design, event-driven systems, and DevSecOps adoption. I am particularly passionate about applying technology to sustainability, healthcare, and social impact, where innovation can meaningfully improve lives. I believe responsible AI, well-architected systems, and modern platforms are critical enablers for sustainable growth and better health outcomes. Known for bridging business, engineering, and executive stakeholders, I thrive in roles that require strategic thinking, technical depth, and hands-on leadership—helping organizations modernize, innovate, and scale with confidence.
Click here to give some Feedback so we can make it even better next year!