AI Solutions Architect

Generative AI is the way to go yet...

I have found that a GenAI app's success does not depend on the prompt alone, but on the surrounding architecture. Therefore, building robust end-to-end systems—handling business logic, QA, and security—is what turns a raw model into a business product.

My Core Principles:

• Runtime Adaptability: Prompts shouldn't be static but built dynamically based on the user's live context (call context loaded at the start of the call, prompts built on runtime).
• Natural Language is the new Code: GenAI is the most logic-coupled field in the history of software engineering. We are no longer just building tools but "training" digital agents to navigate business logic autonomously.