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Current build · AI product intelligence platform

Chitraagni

Full-stack AI product intelligence platform built around backend infrastructure, product memory, AI workflows, auth, billing, deployment, and Android-ready delivery.

PythonFastAPIPostgreSQLRedisTypeScriptNext.jsDockerAzureGitHub ActionsFirebase IAMOAuth 2.0RazorpayRAGSemantic RetrievalLLM OrchestrationAgentic WorkflowsAndroid/Kotlin

Overview

Chitraagni is my main product at Amretra Dynamics: a full-stack AI product intelligence platform built around product memory, AI workflows, backend infrastructure, deployment pipelines, authentication, billing, and user-facing product systems.

What I built

I built Chitraagni as a full-stack AI product system across backend infrastructure, product memory, AI workflow automation, authentication, billing, deployment, frontend surfaces, and Android-ready delivery.

Technical focus

The core technical focus is backend and AI infrastructure: FastAPI services, PostgreSQL/Redis data layers, semantic retrieval, RAG-oriented product memory, LLM orchestration, Firebase/OAuth authentication, Razorpay billing, Azure deployment, Docker/GitHub Actions workflows, and agent-style execution patterns.

Why it matters

Chitraagni shows my strongest current capability: taking an AI product idea beyond a demo and building the infrastructure around it - APIs, data, retrieval, auth, billing, deployment, frontend workflows, and product hardening.