DRAG

Founder & Agentic AI Architect — SUPER AI Bharat

Architecting Autonomous Multi-Agent Workflows & Sovereign AI Systems.

From LangGraph state orchestration and custom MCP servers to sub-400ms WebRTC Voice AI and Indic-language RAG pipelines — production-grade systems for enterprise & emerging markets.

[ DRAG ANY EMPTY SPACE — THE AGENT MESH IS LIVE & PHYSICAL ]

MCP · 4 TOOLS CONNECTED
342ms E2E VOICE LATENCY
DPIIT Recognised
Startup India BHASKAR:
IN-0526-9469JW
NCFE Innovate4FinLit
National 3rd Runner-Up
Google Build with Gemini XPRIZE
Hackathon — Selected Entrant
Featured — Business Talkz
Top Icons of India (Edition 97)

01 — Systems & Demos

Live Systems & Agent Showcase

Production systems — each built to ship, measure, and survive real users.

01
React 18ViteCloudflare PagesLIVE

THE YOUNG ADULT TYA-AFS

▲ NCFE Innovate4FinLit — National 3rd Runner-Up

National award-winning financial literacy simulation PWA with generative scenarios and live risk meters.

02
PythonWebRTCWhisper/DeepgramElevenLabsCORE ENGINE

ECHOMIND

▲ <400ms end-to-end voice latency · 0 dropped frames

Ultra-low-latency real-time Voice AI engine — sub-400ms round-trip with zero dropped audio frames over simulated jitter.

03
PlaywrightLangChainCrewAISlack APIAUTONOMOUS

JOB SENTINEL

▲ Autonomous scrape → fit-score → alert pipeline

Autonomous job-intelligence agent: Playwright scraping, LLM-based fit scoring, and real-time Slack alert routing.

04
MCPLangGraphFastAPIPostgreSQLBETA

NO-CODE-CASHFLOW

▲ LangGraph + MCP engine for MSME finance

Predictive cash-flow modeling engine parsing bank statements and financial documents for MSMEs.

05
Bhashini APISarvam AIIndic RAGSHIPPING

SOVEREIGN VERNACULAR AI

▲ LaunchKit Bhasha · Stree Suraksha

Multilingual legal, civic, and safety assistants built on Bhashini and Sarvam AI APIs — sovereign Indic AI stacks for emerging markets.

Serving in
हिन्दीবাংলাதமிழ்తెలుగుमराठी+ 6 more

02 — Architecture

Technical Architecture Playbook

The full stack behind production-grade multi-agent systems — mapped end to end.

24ms 18ms 168ms 132ms e2e 342ms INPUT mic / text ASR deepgram LANGGRAPH router · reflect TTS elevenlabs OUTPUT webrtc down MCP TOOL BUS 4 tools · schema-validated VECTOR RAG chroma · compression ALERTS slack · webhooks
FIG. 01 — ECHOMIND REAL-TIME VOICE LOOPP99 BUDGET · 342MS / 400MS

Agentic Orchestration

  • LangGraph — StateGraph, conditional routing
  • CrewAI
  • Autonomous Sub-Agents
  • Tool-Calling
  • Reflection Loops

Protocols

  • Model Context Protocol (MCP)
  • WebRTC
  • WebSockets
  • REST

Infrastructure

  • FastAPI · Flask
  • Docker
  • GCP
  • Cloudflare Pages
  • Netlify Edge

Data & RAG

  • PostgreSQL
  • Chroma / Pinecone
  • Context Compression
  • Semantic Caching
  • Indic-language pipelines

03 — Interactive

Agent Playground

A live simulated shell. Type a command — or pick one — and watch the orchestration trace run.

agent-playground — bash
sudip@super-ai-bharat:~$
sudip@super-ai-bharat:~$

04 — Track Record

Metrics & Recognition

<0ms
End-to-End Voice Latency · Deepgram → LangGraph → ElevenLabs over WebRTC
0
Production Deployments
0
Dropped Frames · Simulated Jitter
0
National Recognitions — DPIIT · NCFE · Gemini XPRIZE · Business Talkz

05 — Booking

Book an Architecture Call

Engagements: production LLM orchestration, custom MCP tooling, and sub-second Voice AI — from architecture review to shipped system. Response within 24 hours, IST.