I will build your AI agent, RAG pipeline, or LLM system production-ready, not a demo. LangGraph, CrewAI, Claude API, FastAPI, MLOps. 3+ years shipping AI that actually runs in production.

About this Gig

What you get: A production-grade AI system built, tested, deployed, and handed off running. Not a Jupyter notebook. Not a proof of concept. A real system that works under real conditions. I cover the full stack: → Agentic AI pipelines — multi-agent workflows using LangGraph and CrewAI, with structured handoffs, context chaining, and edge case handling → RAG systems — retrieval-augmented generation with adaptive retrieval, multi-hop reasoning, and hallucination reduction via policy-grounded retrieval → LLM observability — custom SDKs monitoring token usage, latency, output quality, and failure patterns across your applications → End-to-end MLOps — CI/CD pipelines, on-premise or cloud deployment, model monitoring, and drift detection Who this is for: → Startups that need an MVP AI pipeline built fast and correctly the first time → Product teams that want to add agentic workflows without hiring a full AI team → Enterprises looking to move from LLM experiments to production systems → Founders who've been burned by AI freelancers who delivered demos, not systems What makes me different 3+ years shipping AI in production at Visa (60+ clients, 15 applications) and Mercedes-Benz R&D (granted patent in deep learning). I don't just write the code — I architect the system, instrument it for observability, wire up the deployment pipeline, and make sure it runs reliably at scale. Every project I deliver includes: ✓ Clean, documented code ✓ Tested pipelines with evaluation metrics (RAGAS, LLM-as-judge, or custom) ✓ Deployment-ready setup (Docker, FastAPI, CI/CD) ✓ Handoff walkthrough so your team can maintain it My Tech Stack: LangGraph · CrewAI · Claude API · LangChain · RAG · RAGAS · Prometheus · FastAPI · Docker · Python · Jenkins · GitHub Actions · On-premise deployment Deliverables depend on scope — here's what a typical engagement looks like: TYPICAL ENGAGEMENT MVP pipeline (1–2 weeks) Single agent or RAG system, tested and deployed Full agentic system (3–4 weeks) Multi-agent pipeline, observability, and CI/CD Enterprise integration (4–6 weeks) Full system + monitoring + team handoff

Requirements

Before we start Drop me a message with: What problem you're trying to solve Your current stack (if any) Whether you need cloud or on-premise deployment I'll respond within 24 hours with a clear scope and timeline.

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