LLM infra with JAX pmap, vLLM-style inference mock, FSDP loop, and K8s/Terraform scaffolds.

AI-DevOps is a hands-on repository for DevOps engineers learning AI from an infrastructure-first mindset. It covers LLM infra, RAG pipelines, vector databases, MLOps/AIOps basics, CI/CD for AI workloads, observability, security, and cost-aware cloud-native deployments with real labs and examples.

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Practical GenAI tools for quantitative research: prompt chains for portfolio/strategy insights, documentation copilot, LLM-augmented research pipelines, infra helpers (SQL/YAML/testing), and a strategy lab with measurable LLM speedups.