I'm Atul Singh β Founder & CEO of Cognitiev π 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.
- π Currently building: Multi-agent orchestration platforms & agentic RAG pipelines at Cognitiev
- π€ Deep in: LangGraph, MCP, tool-calling agents, evals & agent observability
- π― Open to collaborate on: Agentic AI & GenAI applications
- π€ Looking for help with: Sales & Marketing
- π¬ Ask me about anything β except Maths π
- β‘ Fun fact: I invest most of my free time researching Defence Forums
| Capability | What it means in production |
|---|---|
| π§© Multi-Agent Orchestration | Plannerβexecutorβcritic topologies, supervisor graphs, agent handoffs |
| π οΈ Tool Use & Function Calling | Structured outputs, MCP servers, API/tool routing, sandboxed execution |
| π Agentic RAG | Hybrid retrieval, query decomposition, self-querying, re-ranking, citation grounding |
| π Reflection & Self-Correction | Critic loops, guardrails, retry policies, output validation |
| π§ͺ Evals & Observability | Trace-level debugging, LLM-as-judge, regression suites, cost/latency budgets |
| π§ββοΈ Human-in-the-Loop | Approval gates, escalation paths, confidence-based routing |
| π§ Memory Architectures | Episodic + semantic memory, vector stores, session state, knowledge graphs |
Production systems I architect and code end-to-end β frontend, backend, and AI agent layers.
Real-time, telephony-grade conversational AI agents that handle live phone calls, IVR flows, voicemail detection, and outbound dialing β with sub-second latency.
| Layer | Stack |
|---|---|
| π€ 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 |
| βοΈ 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 |
| π¨ Frontend | React 19 Β· TypeScript Β· Vite Β· LiveKit Components Β· Redux Toolkit + TanStack Query Β· Tailwind CSS 4 Β· Radix UI Β· Framer Motion Β· Recharts Β· Socket.IO |
| π Voice Pipeline | Streaming STT β LLM β TTS with barge-in, browser + server noise suppression, call transcripts, sentiment analytics, RAG knowledge base |
| π¦ Infra | Docker Β· docker-compose Β· GitHub Actions Β· SIP/PSTN inbound-outbound runbooks |
Full-stack CRM with an agentic AI roadmap β lead pipelines, QR-based engagement, and analytics dashboards.
| Layer | Stack |
|---|---|
| ποΈ App | Next.js 16 (App Router) Β· React 19 Β· TypeScript Β· Tailwind CSS 4 |
| ποΈ Data | Prisma Β· PostgreSQL Β· Zod validation Β· JWT auth (jose) |
| π Product | Recharts analytics Β· QR code workflows Β· Dockerized dev environment |
π©Ί Doctor Cognitiev β Early Detection. Brighter Futures.
AI-powered developmental screening and voice-guided home therapy for children aged 0β6 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.
π‘ "Agents are not the future of software β they're the present. I just build them before the docs exist."
β From crypticatul β building Cognitiev, one commit at a time.