Raghav Pandey

I’m looking for high-ownership roles as a Founding or Senior AI Engineer building production-grade agentic platforms and enterprise RAG systems. I thrive when designing end-to-end architectures—from APIs, state machines (LangGraph, MCP), and data pipelines to strict reliability guardrails and CI/CD evaluation—that automate mission-critical workflows and deliver measurable business ROI. I architect AI systems that ship to production — not demos, not notebooks. As an Independent AI Architect & Automation Engineer, I've deployed 20+ production AI systems across 4 continents (US, Europe, Australia, Asia) for PE-backed enterprises and fast-moving startups. I operate on a direct B2B contract basis — zero visa sponsorship, payroll tax, or FTE overhead. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ THE RESULTS I DELIVER: → 20+ production AI systems & multi-agent pipelines deployed globally → 80% reduction in lead response times via real-time Voice AI agents → 70% reduction in manual qualification effort across 3 investment firms → P95 latency cut from ~6s to ~1.8s on streaming conversational voice pipelines → 100,000+ production queries & document extractions handled with >99% precision → Open-Source Flagship: github.com/kingpandu27/enterprise-b2b-agentic-copilot ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT I BUILD: ▸ Agentic Systems & FastMCP: LangGraph state machines, custom FastMCP tool servers, multi-agent coordination, and Redis session persistence interfacing with enterprise databases and APIs. ▸ Guardrails & Evaluation: Deterministic security firewalls, PII masking, anti-hallucination checks, and automated Pytest test gates (>95% accuracy) before production release. ▸ Voice AI & Low Latency: Streaming STT/TTS, sub-2s LLM inference, and interruption handling for customer-facing agents. ▸ Enterprise RAG: Hybrid search (vector + BM25 keyword), re-ranking, and chunking with pgvector and Pinecone with citation validation. ▸ Workflow Automation: Production orchestration with n8n, Make, and FastAPI microservices with two-way CRM sync (HubSpot, GoHighLevel). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECH STACK: Python | FastAPI | LangGraph | FastMCP | Redis | Docker | Kubernetes | PostgreSQL/pgvector | Pinecone | n8n | OpenAI | Anthropic Claude | AWS | Langfuse | Pytest CI/CD ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW WE CAN ENGAGE: 1. 2–4 Week "Idea-to-Production" AI Agent / MVP Sprint 2. Performance, Latency & Hallucination Audit for existing LLM/Voice pipelines 3. Fractional AI Architect / Team Retainer (Part-time or Full-time B2B) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌍 WORKING LOGISTICS: • Location: Bangkok, Thailand (GMT+7) — Independent B2B Consultant • Daily business hour overlap across US Eastern, EU (CET), and APAC • GitHub: github.com/kingpandu27/enterprise-b2b-agentic-copilot • LinkedIn: linkedin.com/in/raghav-pandey27