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Prasad Shembekar

work · products

An AI-native ecosystem.

four products · one long-term direction

Information OS

Building

The AI operating system for knowledge and work

A unified platform combining notes, documents, AI memory, semantic search, workflows and intelligent agents into one operating system for knowledge work.

Next.jsNestJSOpenAIDocker

AgentOS Studio

Building

AI agents built to accelerate software engineering

A production-ready AI developer platform — specialized agents for resume analysis, code review, SQL, docs, prompts and more.

Next.jsNestJSOpenAIDocker

Enterprise Knowledge Assistant

Building

Enterprise AI search powered by RAG

An enterprise AI search platform that connects organizational knowledge from many sources and enables secure conversational search with citations.

Next.jsNestJSAzure OpenAIBullMQ

ArchitectureOS

Building

Design, validate and document distributed systems with AI

Visually design cloud-native systems, validate them with AI, estimate infra cost, and export deployment-ready artifacts.

Next.jsNestJSOpenAIDocker

shared foundation

One engineering stack, four products.

FrontendNext.js 15, React 19, TypeScript, Tailwind CSS, shadcn/ui, Framer Motion, TanStack Query
Backend & APIsNestJS, REST, GraphQL, Prisma ORM, PostgreSQL, Redis
Event-drivenBullMQ, Redis Streams, Kafka, WebSockets
AI & RetrievalOpenAI, Azure OpenAI, LangChain, LangGraph, pgvector, RAG, Embeddings
Cloud & DevOpsDocker, GitHub Actions, AWS, Azure, Vercel, Railway / Neon
QualityJest, Playwright, ESLint, Prettier, Lighthouse, WCAG 2.2