#mongodb-atlas

Multi-tenant AI copilot for on-call engineers with grounded ticket summaries, SOP search (RAG), and RCA generation.

Production-grade, evidence-first RAG platform built with Node.js, MongoDB Atlas, and Gemini. Solves cloud storage limits via SHA-256 deduplication while delivering verifiable document Q&A with interactive citations, zero-hallucination abstention protocols, and immutable forensic audit traces.

Spend Engineer (Encode London 2026): an agent that tunes the AI stack from GPU node to prompt and ships nothing without evidence

Reads invoices with Gemini and checks them with Zod rules: duplicates, wrong totals and tax errors.

Production-grade agentic AI on Kubernetes — LangGraph-native agent orchestration (Synapse) on EKS + Istio Ambient Mesh + AgentGateway. Zero-credential LLM access, pluggable MongoDB Atlas Vector Search memory, A2A protocol runtime, multi-tenant by design.

Confidential AI router: the browser verifies sealed hardware before encrypting your prompt. Gemini 4 Argon agent, MongoDB Atlas search, Circle Arc receipts.