I work at the intersection of AI engineering and product architecture, helping teams move from experimental LLM demos to production-grade Agentic AI systems. Over the last few years, I’ve built and led multiple AI projects involving multi-agent workflows, retrieval-augmented generation (RAG), tool-calling, memory, and orchestration layers — both in open-source and startup environments. My focus is not just on making agents “work,” but on making them reliable, scalable, and aligned with real business use cases. Most people struggle with Agentic AI because the architecture is unclear, tools are misused, or the system becomes fragile as it grows. That’s where I step in. Through my 1:1 strategy calls, I help founders and engineers clarify their approach, avoid costly design mistakes, and build AI systems that are practical, maintainable, and ready for real users.