I am a Product and Technology professional with a strong foundation in system design, data modeling, and AI-driven solution development. Over the years, I’ve worked across the full product lifecycle—starting from problem discovery and stakeholder alignment to defining PRDs, designing scalable architectures, and leading execution with cross-functional teams. My experience includes building enterprise platforms such as AI-powered document intelligence systems and RAG-based search solutions, where I’ve driven measurable outcomes like cost reduction and improved operational efficiency. I’m particularly interested in solving complex business problems using technology, especially in the space of Generative AI. I enjoy working at the intersection of product thinking and engineering—making trade-offs, designing scalable systems, and ensuring that what we build delivers real value to users. I also have a strong inclination toward emerging AI paradigms like multi-agent systems, hybrid search architectures, and AI observability, which I actively explore and experiment with. From an experience standpoint, I bring a blend of hands-on technical depth and product leadership. I’ve led teams, managed backlogs, defined roadmaps, and ensured alignment between business and engineering. I’m comfortable diving deep into architecture while also communicating effectively with stakeholders and driving strategic decisions. My long-term goal is to build and scale impactful AI-driven products that move beyond prototypes into reliable, production-grade systems. I aim to grow into a leadership role where I can define AI strategy at an organizational level, drive innovation, and create platforms that enable businesses to leverage AI responsibly, efficiently, and at scale.