Primitives

fai-elasticsearch-expert

Elasticsearch specialist — index design, BM25 + kNN hybrid search, vector fields with HNSW, ILM lifecycle, cluster management, and RAG integration patterns.

• performance-efficiency
• reliability
• security

fai-embedding-expert

Embedding specialist — text-embedding-3 model selection, Matryoshka dimension reduction, batch embedding pipelines, similarity metrics, chunking strategies, and vector database integration for RAG.

• cost-optimization
• performance-efficiency

fai-event-driven-expert

Event-driven architecture specialist — Azure Event Grid, Service Bus, Event Hubs selection, event sourcing, CQRS, saga orchestration, and exactly-once processing patterns for AI pipelines.

• reliability
• performance-efficiency
• cost-optimization

fai-genai-foundations-expert

GenAI foundations expert — transformer architecture, tokenization, inference optimization (KV cache, speculative decoding), model taxonomy, prompt engineering theory, and evaluation benchmarks.

• performance-efficiency
• cost-optimization

fai-go-expert

Go development specialist — idiomatic Go 1.22+, goroutines/channels concurrency, Azure SDK for Go, high-performance HTTP servers, error handling patterns, and table-driven testing.

• performance-efficiency
• reliability
• security

fai-graphrag-expert

GraphRAG specialist — entity extraction, relationship mapping, knowledge graph construction, community detection, graph-based retrieval with Cosmos DB Gremlin/Neo4j, and hybrid graph+vector search.

• performance-efficiency
• reliability

fai-grpc-expert

gRPC specialist — Protocol Buffers schema design, unary/streaming RPCs, interceptors for auth and tracing, load balancing, health checking, and high-performance AI microservice communication.

• performance-efficiency
• reliability

fai-kubernetes-expert

Kubernetes specialist — pod scheduling, GPU resource management, network policies, Helm charts, GitOps with Flux/ArgoCD, and production-grade AI workload orchestration on AKS.

• reliability
• performance-efficiency
• security

fai-llamaindex-expert

LlamaIndex data framework specialist — document loaders, index types (VectorStore/Summary/Knowledge Graph), query engines, response synthesizers, and agent tool integration for RAG.

• performance-efficiency
• reliability

fai-llm-landscape-expert

LLM landscape expert — model families (GPT, Claude, Llama, Gemini, Phi), benchmarks (MMLU, HumanEval, MT-Bench), deployment types, quantization, and model selection frameworks.

• cost-optimization
• performance-efficiency

fai-ml-engineer

ML engineering specialist — model training pipelines, LoRA/QLoRA fine-tuning, evaluation metrics, MLOps with Azure AI Foundry, model registry, and serving optimization for production AI.

• cost-optimization
• performance-efficiency
• operational-excellence

fai-performance-profiler

Performance profiling specialist — latency analysis (P50/P95/P99), token optimization, GPU utilization profiling, bottleneck identification, cold start analysis, and AI pipeline performance tuning.

• performance-efficiency
• cost-optimization

fai-production-patterns-expert

Production AI patterns expert — hosting selection (Container Apps/AKS/Functions), APIM gateway patterns, streaming SSE, retry/circuit-breaker, health checks, and multi-region deployment for production AI workloads.

• reliability
• performance-efficiency
• cost-optimization
• operational-excellence

fai-protobuf-expert

Protocol Buffers specialist — proto3 schema design, backward compatible evolution, gRPC service definitions, code generation, and binary serialization for high-performance AI APIs.

• performance-efficiency
• operational-excellence

fai-python-expert

Python development specialist — Python 3.12+, async/await patterns, Pydantic v2, FastAPI, pytest, type hints, Azure SDK, and production-grade AI application patterns.

• security
• reliability
• performance-efficiency

fai-python-mcp-expert

Python MCP server specialist — FastMCP framework, @mcp.tool() decorators, async handlers, Pydantic input models, uv deployment, and Azure service integration for AI tools.

• security
• reliability
• performance-efficiency

fai-rag-architect

Enterprise RAG architecture specialist — designs end-to-end retrieval-augmented generation pipelines with Azure AI Search, OpenAI embeddings, chunking strategies, grounding, citation, evaluation, and production deployment.

• security
• reliability
• cost-optimization
• performance-efficiency

fai-rag-expert

RAG expert — advanced retrieval patterns (agentic, graph, multi-modal RAG), chunking strategies, hybrid search, re-ranking, evaluation metrics, and production RAG optimization.

• reliability
• performance-efficiency
• cost-optimization

fai-ray-expert

Ray distributed computing specialist — Ray Serve for model serving, Ray Tune for hyperparameter optimization, Ray Data for preprocessing, and distributed training/inference at scale.

• performance-efficiency
• cost-optimization

fai-react-expert

React/Next.js specialist — React 19 Server Components, Suspense streaming for AI chat, App Router, Tailwind CSS, useActionState, and accessibility-first patterns.

• performance-efficiency
• security
• responsible-ai

fai-redis-expert

Redis specialist — caching patterns (TTL, LRU), semantic cache for AI (embedding similarity), pub/sub messaging, Redis Streams, and session storage for chat applications.

• performance-efficiency
• cost-optimization

fai-refactoring-expert

Code refactoring specialist — extract method, reduce cyclomatic complexity, improve testability, SOLID principles, design pattern application, and safe behavior-preserving transformations.

• reliability
• performance-efficiency

fai-rust-expert

Rust specialist — ownership/borrowing, async with tokio, serde serialization, error handling with thiserror/anyhow, and high-performance AI infrastructure (inference proxies, MCP servers).

• security
• performance-efficiency
• reliability

fai-solutions-architect

Cloud solutions architect — end-to-end AI solution design, Azure service selection, multi-service integration, cost estimation, WAF trade-off analysis, and architecture decision records.

• reliability
• cost-optimization
• performance-efficiency
• security