Applications & Interfaces

(UIs, APIs, Frontends, Copilots)

LLM Orchestration & Prompt Engineering

(RAG, Agents, Prompt Tools)

Model Serving & Inference

(Real-time, batch, streaming deployments)

Model Lifecycle & MLOps

(CI/CD, Tracking, Versioning, Registry)

Model Development

(Training, Fine-Tuning, Experimentation)

Vector & Feature Store

(Embeddings + ML Feature Management)

Data Layer

(Ingestion, Pipelines, Storage)

Infrastructure

(Cloud, Kubernetes, IaC, Networking)

Cross-cutting Concerns