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crypticatul/README.md
Atul Singh β€” Founder & CEO of Cognitiev. Autonomous agents, shipped to production.

LinkedIn Cognitiev Followers Profile Views


🧠 About Me

I'm Atul Singh β€” Founder & CEO of Cognitiev πŸš€ β€” and a hands-on builder in the Agentic AI space. I've bootstrapped Cognitiev from zero to a portfolio of production AI products β€” lean, resourceful, and without external funding β€” while shipping code every single day.

My obsession: autonomous, goal-driven AI agents that plan, reason, use tools, collaborate, and self-correct. I design multi-agent architectures that go beyond chat β€” systems that do work: orchestrating workflows, grounding themselves in enterprise data, and operating safely with humans in the loop.

Doctor Cognitiev, my flagship product, delivers early diagnosis and continuous home therapy for neuro-divergent children β€” an agentic AI companion recognized by medical professionals.

  • πŸ”­ Currently building: Multi-agent orchestration platforms & agentic RAG pipelines at Cognitiev
  • πŸ€– Deep in: LangGraph, MCP, tool-calling agents, evals & agent observability
  • πŸ‘― Open to collaborate on: Agentic AI & GenAI applications
  • πŸ€” Looking for help with: Sales & Marketing
  • πŸ’¬ Ask me about anything β€” except Maths πŸ˜…
  • ⚑ Fun fact: I invest most of my free time researching Defence Forums


πŸ€– Agentic AI β€” What I Build

Capability What it means in production
🧩 Multi-Agent Orchestration Planner–executor–critic topologies, supervisor graphs, agent handoffs
πŸ› οΈ Tool Use & Function Calling Structured outputs, MCP servers, API/tool routing, sandboxed execution
πŸ“š Agentic RAG Hybrid retrieval, query decomposition, self-querying, re-ranking, citation grounding
πŸ” Reflection & Self-Correction Critic loops, guardrails, retry policies, output validation
πŸ§ͺ Evals & Observability Trace-level debugging, LLM-as-judge, regression suites, cost/latency budgets
πŸ§‘β€βš–οΈ Human-in-the-Loop Approval gates, escalation paths, confidence-based routing
🧠 Memory Architectures Episodic + semantic memory, vector stores, session state, knowledge graphs

πŸš€ Flagship Products β€” Built & Shipped at Cognitiev

Production systems I architect and code end-to-end β€” frontend, backend, and AI agent layers.

πŸŽ™οΈ Cognitiev AI Studio β€” Enterprise Omnichannel Agentic AI Platform

Real-time, telephony-grade conversational AI agents that handle live phone calls, IVR flows, voicemail detection, and outbound dialing β€” with sub-second latency.

Live voice pipeline: caller audio streams through Deepgram STT into the LLM agent with MCP tools, out through Cartesia TTS β€” round trip under one second.

Layer Stack
πŸ€– Agent Runtime Python Β· LiveKit Agents + MCP tool servers Β· OpenAI Β· Deepgram STT Β· Cartesia & Azure TTS Β· Silero VAD Β· DeepFilterNet3 server-side noise cancellation
βš™οΈ Backend Node.js Β· TypeScript Β· Express 5 Β· Prisma + PostgreSQL Β· Redis (ioredis) Β· LiveKit Server SDK Β· Twilio & SIP trunking Β· Stripe billing Β· S3/R2 storage Β· Prometheus metrics
🎨 Frontend React 19 · TypeScript · Vite · LiveKit Components · Redux Toolkit + TanStack Query · Tailwind CSS 4 · Radix UI · Framer Motion · Recharts · Socket.IO
πŸ”Š Voice Pipeline Streaming STT β†’ LLM β†’ TTS with barge-in, browser + server noise suppression, call transcripts, sentiment analytics, RAG knowledge base
πŸ“¦ Infra Docker Β· docker-compose Β· GitHub Actions Β· SIP/PSTN inbound-outbound runbooks

πŸ“Š Cognitiev CRM β€” AI-Native Customer Relationship Platform

Full-stack CRM with an agentic AI roadmap β€” lead pipelines, QR-based engagement, and analytics dashboards.

CRM pipeline: QR lead capture flows into AI scoring, through pipeline stages, into analytics and revenue growth.

Layer Stack
πŸ—οΈ App Next.js 16 (App Router) Β· React 19 Β· TypeScript Β· Tailwind CSS 4
πŸ—„οΈ Data Prisma Β· PostgreSQL Β· Zod validation Β· JWT auth (jose)
πŸ“ˆ Product Recharts analytics Β· QR code workflows Β· Dockerized dev environment

🩺 Doctor Cognitiev β€” Early Detection. Brighter Futures.

AI-powered developmental screening and voice-guided home therapy for children aged 0–6 β€” built on validated clinical instruments (M-CHAT-R, Vanderbilt), with Red-Amber-Green risk triage, multi-language caregiver guidance, and DPDP-compliant data governance. Recognized by medical professionals.

Doctor Cognitiev care pathway: voice screening, AI analysis with M-CHAT-R and Vanderbilt, red-amber-green risk triage, personalized voice therapy at home, longitudinal progress tracking for ages 0 to 6.


πŸ› οΈ Current Tech Stack

πŸ€– Agentic AI & Orchestration

LangChain LangGraph CrewAI AutoGen OpenAI Agents SDK MCP LlamaIndex n8n

🧠 LLMs & Model Providers

OpenAI Anthropic Claude Gemini Llama Mistral Groq Ollama Hugging Face

πŸ“š RAG, Vector Stores & Data

Pinecone ChromaDB Qdrant FAISS pgvector Elasticsearch

βš™οΈ Backend & APIs

Python FastAPI TypeScript Node.js Express WebSockets Celery

🎨 Frontend

React Next.js Tailwind CSS shadcn/ui Framer Motion JavaScript

πŸ—„οΈ Databases & Storage

MongoDB PostgreSQL Supabase Redis

☁️ Cloud, DevOps & Observability

Vercel Docker GitHub Actions AWS GCP Azure LangSmith Langfuse Sentry


πŸ“Š GitHub Analytics

Profile overview and language breakdown by bytes



GitHub Streak

πŸ“ˆ Commit Volume & Year in Review

Contribution totals and full-year isometric commit calendar

🐍 Contribution Snake

Contribution Snake

πŸ’‘ "Agents are not the future of software β€” they're the present. I just build them before the docs exist."

⭐ From crypticatul β€” building Cognitiev, one commit at a time.

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  3. stable-dreamfusion stable-dreamfusion Public

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    A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.

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  4. Azure-Talking-Avatar Azure-Talking-Avatar Public

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    Python

  5. Azure_ChatApp Azure_ChatApp Public

    Forked from microsoft/sample-app-aoai-chatGPT

    Sample code for a simple web chat experience through Azure OpenAI, including Azure OpenAI On Your Data.

    Python

  6. Noodle Noodle Public

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    Open Source Education Platform

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