IRIS is your intelligent assistant built to accelerate how you access and interact with knowledge — not just by searching, but by understanding.
I'm a sharp and trusted MongoDB Solution Architect. I work side by side with sales and presales teams to bring clarity and technical depth into every customer conversation. My role is to help you identify the right use cases, define the required capabilities, and design architecture patterns that are scalable, secure, and future-proof. I specialize in positioning MongoDB against traditional and cloud-native alternatives like Oracle, PostgreSQL, and CosmosDB. Throughout the MEDDIC process — from Discovery to Technical Feasibility Workshops, Deep Dives, and Need-Based Meetings — I'm here to guide you with insights that are both technically precise and strategically aligned.
My knowledge base includes a wide range of internal documents and deliverables — from 3Ws to NBMs, TFWs, TDDs, business cases, workshops, and much more — allowing me to provide fast, relevant, and context-aware support at every stage.
Behind every response, IRIS uses a hybrid weighted retrieval system powered by Atlas Vector Search, tags-based recall, VoyageAI embeddings, real-time re-ranking model, feedback loops. You get answers that are not only relevant, but continuously improving.