AI is transforming industries, but building real-world AI applications requires more than just powerful models, it demands solid system architecture and thoughtful design. In this session, I’ll take you behind the scenes of real projects where AI was applied to solve practical problems, including a platform that creates personalized learning roadmaps using AI.

We’ll explore how to design scalable, efficient, and maintainable AI-driven systems, from integrating data pipelines and model serving to aligning with user needs and performance goals. This session blends architectural insights with real-world lessons — perfect for developers, data scientists, and tech leaders looking to bridge the gap between AI innovation and real-world implementation.