Hi [Gopi],

I came across Hyperleap and what stood out to me is that you're solving the hard version of this well: the hierarchical RAG, the grounded responses, the multi-model routing, all so an SMB can actually use it in 30 minutes. That's the kind of system I've been building, and I'd love to help as an early engineer.

Two things I've shipped that are closest to your stack:

• [Project Name 1 / Agentic Chat]: a LangGraph agent platform with a hybrid RAG pipeline (retrieval plus reranking), routing across vision, documents, memory and tools, human-in-the-loop approvals, and 10+ integrations running in a planner-agent-tool loop. This one maps almost directly onto what you're building.

• [Project Name 2 / Edward]: a production AI code-gen platform where I owned orchestration end to end. Built a streaming parser that turns raw LLM output into structured events in real time, a Redis-buffered sandbox for concurrent builds, isolated Docker environments, and crash-safe recovery so multi-step agent loops hold up under load.

Beyond that, I've shipped customer-facing features at scale (led a rebuild that drove a jump in DAU) and done the less glamorous production work too, like taking a chat product's Lighthouse score from , cutting incident resolution time by , and increasing deploy velocity by .